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US E ES Product Engineering | PxE Platforms | Group Engineering Leader

at Deloitte

Back to all Cloud & DevOps jobs
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US E ES Product Engineering | PxE Platforms | Group Engineering Leader

at Deloitte

Mid LevelNo visa sponsorshipAWS/GCP/Azure DevOps

Posted 5 days ago

No clicks

Compensation
$144,300 – $296,100 USD

Currency: $ (USD)

City
Atlanta, Austin, Birmingham, Boise, Boston, Chicago, Dallas, Davenport, Denver, Hartford, Huntsville, Houston, Indianapolis, Jacksonville, Jersey City, Kansas City, Las Vegas, Los Angeles, Louisville, Miami, Minneapolis, Mechanicsburg, New York City, Philadelphia, Pittsburgh, Portland, Princeton, Raleigh, Richmond, Rochester, Sacramento, Salt Lake City, San Antonio, San Francisco, San Jose, Seattle, Stamford, Tallahassee, Tampa, Tempe, Tulsa, Washington DC
Country
United States

Lead a full-stack engineering workstream delivering cloud-native products and Generative AI (GenAI) capabilities. You will guide day-to-day technical execution, ensure secure and reliable delivery, and partner with product, design, and stakeholders to translate requirements into working software—while incorporating strong system design and privacy-by-design practices. This role requires coordinating across engineering, product, QA, security, and operations, with hands-on experience across cloud platforms and DevSecOps practices.

Product Engineering | PxE Platforms | Group Engineering Leader

Engineering and Product | Engineering Management
Same job available in 67 locations

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Position Summary

Engineering Leader

Role summary

Lead a full-stack engineering workstream delivering cloud-native products and Generative AI (GenAI) capabilities. You will guide day-to-day technical execution, ensure secure and reliable delivery, and partner with product, design, and stakeholders to translate requirements into working software—while incorporating strong system design and privacy-by-design practices.

Recruiting for this role ends on 2/28/2026

Key responsibilities

  • Workstream leadership: Own delivery for an engineering workstream (scope, plan, dependencies, risks), coordinating across engineers, product, QA, and platform/security partners.
  • System design & architecture: Produce and socialize system designs (component diagrams, sequence flows, data flows, scalability/resiliency patterns, failure modes), and drive design reviews and technical tradeoffs.
  • Hands-on full-stack delivery: Design and build front-end and back-end components; review code, improve test coverage, and drive pragmatic engineering standards.
  • GenAI implementation: Deliver GenAI features using patterns like Retrieval Augmented Generation (RAG), prompt design, tool/function calling, and agent-style workflows.
  • Agent orchestration with LangGraph: Build and maintain multi-step GenAI workflows using LangGraph (stateful execution, routing, tool use, human-in-the-loop patterns), including traceability and evaluation.
  • Cloud-native engineering: Build and operate solutions on AWS, Azure, and/or Google Cloud Platform (GCP) using Platform as a Service (PaaS), Functions as a Service (FaaS), containers, and microservices.
  • DevSecOps execution: Implement continuous integration/continuous delivery (CI/CD), quality gates, security scanning, and release practices using tools such as Azure DevOps (ADO) and/or GitHub, plus static analysis tools (e.g., SonarQube).
  • Reliability & operations: Apply Site Reliability Engineering (SRE) fundamentals—instrumentation, monitoring/alerting, incident response readiness, and post-incident improvement.
  • Privacy & data protection: Embed privacy factors into design and delivery (data minimization, purpose limitation, retention, consent/notice where applicable, access controls, encryption, secrets management, auditing). Ensure GenAI solutions address PII/PHI handling, data residency needs, and safe logging/telemetry practices.
  • Agile delivery: Operate within Scaled Agile Framework (SAFe), Lean, and Extreme Programming (XP) practices as applicable; contribute to sprint planning, story refinement, and technical acceptance criteria.
  • Coaching & team development: Mentor engineers, support technical onboarding, and contribute to interviewing and hiring.
  • Stakeholder communication: Communicate tradeoffs, delivery status, and risks clearly; provide crisp technical recommendations aligned to business outcomes.

Qualifications

Required (full stack & system design)

  • 6+ years professional software engineering experience with modern full-stack delivery.
  • 3+ years building and deploying cloud-native solutions on AWS/Azure/GCP.
  • 1+ years hands-on experience delivering GenAI capabilities in products or internal platforms.
  • Prior experience with system design capability (distributed systems fundamentals, API-first design, scalability, resiliency, caching, data modeling, and security patterns).
  • Prior experience with multiple of the following (depth in at least one primary stack): Angular and/or React, Node.js, Python, C#, .NET Core, Java, and/or Golang, SQL and NoSQL databases
  • Prior experience with object-oriented programming (OOP), data structures/algorithms, secure coding, and performance considerations.
  • Prior experience driving quality through code reviews, automated testing, and clean engineering practices.
  • Prior experience with DevSecOps practices (CI/CD, branching strategies, automated testing, security scanning, quality gates).
  • Prior experience with privacy/security engineering practices: PII classification, least privilege, encryption in transit/at rest, secrets handling, retention controls, and audit logging.
  • Prior experience with observability and operational readiness (logs/metrics/traces; incident practices where applicable).
  • Prior experience integrating with one or more LLM providers (e.g., OpenAI, Anthropic Claude, Google Gemini) and applying appropriate usage patterns.
  • Prior experience with GenAI building blocks: Orchestration frameworks (e.g., LangChain and LangGraph or equivalent), Embeddings and vector databases, Prompt engineering and structured outputs, Practical evaluation approaches and basic guardrails (grounding, input/output controls, safety filters)
  • Prior experience with Python proficiency for GenAI services, pipelines, and evaluation utilities.
  • Must be able to obtain US Government security clearance.
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ 144,300 to $ 296,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html 

PXE_JOBS, EA_ITS_ExpHire

Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.
Recruiting tips

From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
Benefits

At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
Our people and culture

Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. 
Our purpose

Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.  Learn more.
Professional development

From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
As used in this posting, "Deloitte" means Deloitte Services LP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles’s Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. 
Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers
Requisition code: 322365
Job ID 322365
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We would like to clarify that:

  • At Deloitte, ethics and integrity are fundamental and not negotiable.
  • We are against corruption and neither offer bribes nor accept them, nor induce or permit any other party to make or receive bribes on our behalf.
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  • No one other than designated Deloitte personnel (e.g., a Deloitte recruiter or Deloitte hiring partner) is permitted to extend any job offer from Deloitte.

Anyone who at any time has made or makes any payment to any party in exchange for promises of job or selection for a job with Deloitte or any matter related to this (including those for ‘registration’, ‘verification’ or ‘security deposit’) or otherwise engages with any such person who has made or makes fraudulent promises or offers, does so (or has done so) entirely at their own risk. Deloitte takes no responsibility or liability for any such unauthorized or fraudulent actions or engagements. We encourage jobseekers to exercise caution.

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A reasonable estimate of the current range is $ \u003Cspan data-teams=\"true\"\u003E144,300\u003C\/span\u003E to $ 296,100.\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003EYou may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003EInformation for applicants with a need for accommodation: \u003Ca href=\"https:\/\/www2.deloitte.com\/us\/en\/pages\/careers\/articles\/join-deloitte-assistance-for-disabled-applicants.html\" data-mce-href=\"https:\/\/www2.deloitte.com\/us\/en\/pages\/careers\/articles\/join-deloitte-assistance-for-disabled-applicants.html\"\u003Ehttps:\/\/www2.deloitte.com\/us\/en\/pages\/careers\/articles\/join-deloitte-assistance-for-disabled-applicants.html\u003C\/a\u003E \u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003EPXE_JOBS, EA_ITS_ExpHire\u003C\/p\u003E", "employmentType": [""], "hiringOrganization" : { "@type": "Organization", "name": "Deloitte US", "sameAs": null }, "identifier": { "name": 322365, "value": 322365, "@type": "PropertyValue" }, "jobLocation" : { "@type": "Place", "address": { "streetAddress": "", "addressLocality": "", "addressRegion": null, "postalCode": "", "addressCountry": null, "@type": "PostalAddress" } }, "educationRequirements": "Bachelor's Degree", "experienceRequirements": "\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003EEngineering Leader\u003C\/strong\u003E\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003ERole summary\u003C\/strong\u003E\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003ELead a full-stack engineering workstream delivering cloud-native products and Generative AI (GenAI) capabilities. You will guide day-to-day technical execution, ensure secure and reliable delivery, and partner with product, design, and stakeholders to translate requirements into working software\u2014while incorporating strong system design and privacy-by-design practices.\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003ERecruiting for this role ends on 2\/28\/2026\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003EKey responsibilities\u003C\/strong\u003E\u003C\/p\u003E\u003Cul style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cli\u003E\u003Cstrong\u003EWorkstream leadership:\u003C\/strong\u003E Own delivery for an engineering workstream (scope, plan, dependencies, risks), coordinating across engineers, product, QA, and platform\/security partners.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003ESystem design & architecture:\u003C\/strong\u003E Produce and socialize system designs (component diagrams, sequence flows, data flows, scalability\/resiliency patterns, failure modes), and drive design reviews and technical tradeoffs.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EHands-on full-stack delivery:\u003C\/strong\u003E Design and build front-end and back-end components; review code, improve test coverage, and drive pragmatic engineering standards.\u003C\/li\u003E\u003Cli\u003EGenAI implementation: Deliver GenAI features using patterns like Retrieval Augmented Generation (RAG), prompt design, tool\/function calling, and agent-style workflows.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EAgent orchestration with LangGraph:\u003C\/strong\u003E Build and maintain multi-step GenAI workflows using LangGraph (stateful execution, routing, tool use, human-in-the-loop patterns), including traceability and evaluation.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003ECloud-native engineering:\u003C\/strong\u003E Build and operate solutions on AWS, Azure, and\/or Google Cloud Platform (GCP) using Platform as a Service (PaaS), Functions as a Service (FaaS), containers, and microservices.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EDevSecOps execution:\u003C\/strong\u003E Implement continuous integration\/continuous delivery (CI\/CD), quality gates, security scanning, and release practices using tools such as Azure DevOps (ADO) and\/or GitHub, plus static analysis tools (e.g., SonarQube).\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EReliability & operations:\u003C\/strong\u003E Apply Site Reliability Engineering (SRE) fundamentals\u2014instrumentation, monitoring\/alerting, incident response readiness, and post-incident improvement.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EPrivacy & data protection:\u003C\/strong\u003E Embed privacy factors into design and delivery (data minimization, purpose limitation, retention, consent\/notice where applicable, access controls, encryption, secrets management, auditing). Ensure GenAI solutions address PII\/PHI handling, data residency needs, and safe logging\/telemetry practices.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EAgile delivery:\u003C\/strong\u003E Operate within Scaled Agile Framework (SAFe), Lean, and Extreme Programming (XP) practices as applicable; contribute to sprint planning, story refinement, and technical acceptance criteria.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003ECoaching & team development:\u003C\/strong\u003E Mentor engineers, support technical onboarding, and contribute to interviewing and hiring.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EStakeholder communication:\u003C\/strong\u003E Communicate tradeoffs, delivery status, and risks clearly; provide crisp technical recommendations aligned to business outcomes.\u003C\/li\u003E\u003C\/ul\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003EQualifications\u003C\/strong\u003E\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003ERequired (full stack & system design)\u003C\/strong\u003E\u003C\/p\u003E\u003Cul style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cli\u003E6+ years professional software engineering experience with modern full-stack delivery.\u003C\/li\u003E\u003Cli\u003E3+ years building and deploying cloud-native solutions on AWS\/Azure\/GCP.\u003C\/li\u003E\u003Cli\u003E1+ years hands-on experience delivering GenAI capabilities in products or internal platforms.\u003C\/li\u003E\u003Cli\u003EPrior experience with system design capability (distributed systems fundamentals, API-first design, scalability, resiliency, caching, data modeling, and security patterns).\u003C\/li\u003E\u003Cli\u003EPrior experience with multiple of the following (depth in at least one primary stack): Angular and\/or React, Node.js, Python, C#, .NET Core, Java, and\/or Golang, SQL and NoSQL databases\u003C\/li\u003E\u003Cli\u003EPrior experience with object-oriented programming (OOP), data structures\/algorithms, secure coding, and performance considerations.\u003C\/li\u003E\u003Cli\u003EPrior experience driving quality through code reviews, automated testing, and clean engineering practices.\u003C\/li\u003E\u003C\/ul\u003E\u003Cul style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cli\u003EPrior experience with DevSecOps practices (CI\/CD, branching strategies, automated testing, security scanning, quality gates).\u003C\/li\u003E\u003Cli\u003EPrior experience with privacy\/security engineering practices: PII classification, least privilege, encryption in transit\/at rest, secrets handling, retention controls, and audit logging.\u003C\/li\u003E\u003Cli\u003EPrior experience with observability and operational readiness (logs\/metrics\/traces; incident practices where applicable).\u003C\/li\u003E\u003C\/ul\u003E\u003Cul style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cli\u003EPrior experience integrating with one or more LLM providers (e.g., OpenAI, Anthropic Claude, Google Gemini) and applying appropriate usage patterns.\u003C\/li\u003E\u003Cli\u003EPrior experience with GenAI building blocks: Orchestration frameworks (e.g., LangChain and LangGraph or equivalent), Embeddings and vector databases, Prompt engineering and structured outputs, Practical evaluation approaches and basic guardrails (grounding, input\/output controls, safety filters)\u003C\/li\u003E\u003Cli\u003EPrior experience with Python proficiency for GenAI services, pipelines, and evaluation utilities.\u003C\/li\u003E\u003Cli\u003EMust be able to obtain US Government security clearance.\u003C\/li\u003E\u003Cli\u003EAbility to travel 0-10%, on average, based on the work you do and the clients and industries\/sectors you serve\u003C\/li\u003E\u003C\/ul\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003EThe wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ \u003Cspan data-teams=\"true\"\u003E144,300\u003C\/span\u003E to $ 296,100.\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003EYou may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003EInformation for applicants with a need for accommodation: \u003Ca href=\"https:\/\/www2.deloitte.com\/us\/en\/pages\/careers\/articles\/join-deloitte-assistance-for-disabled-applicants.html\" data-mce-href=\"https:\/\/www2.deloitte.com\/us\/en\/pages\/careers\/articles\/join-deloitte-assistance-for-disabled-applicants.html\"\u003Ehttps:\/\/www2.deloitte.com\/us\/en\/pages\/careers\/articles\/join-deloitte-assistance-for-disabled-applicants.html\u003C\/a\u003E \u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003EPXE_JOBS, EA_ITS_ExpHire\u003C\/p\u003E", "industry": "", "occupationalCategory": "", "qualifications": "\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003EEngineering Leader\u003C\/strong\u003E\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003ERole summary\u003C\/strong\u003E\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003ELead a full-stack engineering workstream delivering cloud-native products and Generative AI (GenAI) capabilities. You will guide day-to-day technical execution, ensure secure and reliable delivery, and partner with product, design, and stakeholders to translate requirements into working software\u2014while incorporating strong system design and privacy-by-design practices.\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003ERecruiting for this role ends on 2\/28\/2026\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003EKey responsibilities\u003C\/strong\u003E\u003C\/p\u003E\u003Cul style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cli\u003E\u003Cstrong\u003EWorkstream leadership:\u003C\/strong\u003E Own delivery for an engineering workstream (scope, plan, dependencies, risks), coordinating across engineers, product, QA, and platform\/security partners.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003ESystem design & architecture:\u003C\/strong\u003E Produce and socialize system designs (component diagrams, sequence flows, data flows, scalability\/resiliency patterns, failure modes), and drive design reviews and technical tradeoffs.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EHands-on full-stack delivery:\u003C\/strong\u003E Design and build front-end and back-end components; review code, improve test coverage, and drive pragmatic engineering standards.\u003C\/li\u003E\u003Cli\u003EGenAI implementation: Deliver GenAI features using patterns like Retrieval Augmented Generation (RAG), prompt design, tool\/function calling, and agent-style workflows.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EAgent orchestration with LangGraph:\u003C\/strong\u003E Build and maintain multi-step GenAI workflows using LangGraph (stateful execution, routing, tool use, human-in-the-loop patterns), including traceability and evaluation.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003ECloud-native engineering:\u003C\/strong\u003E Build and operate solutions on AWS, Azure, and\/or Google Cloud Platform (GCP) using Platform as a Service (PaaS), Functions as a Service (FaaS), containers, and microservices.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EDevSecOps execution:\u003C\/strong\u003E Implement continuous integration\/continuous delivery (CI\/CD), quality gates, security scanning, and release practices using tools such as Azure DevOps (ADO) and\/or GitHub, plus static analysis tools (e.g., SonarQube).\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EReliability & operations:\u003C\/strong\u003E Apply Site Reliability Engineering (SRE) fundamentals\u2014instrumentation, monitoring\/alerting, incident response readiness, and post-incident improvement.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EPrivacy & data protection:\u003C\/strong\u003E Embed privacy factors into design and delivery (data minimization, purpose limitation, retention, consent\/notice where applicable, access controls, encryption, secrets management, auditing). Ensure GenAI solutions address PII\/PHI handling, data residency needs, and safe logging\/telemetry practices.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EAgile delivery:\u003C\/strong\u003E Operate within Scaled Agile Framework (SAFe), Lean, and Extreme Programming (XP) practices as applicable; contribute to sprint planning, story refinement, and technical acceptance criteria.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003ECoaching & team development:\u003C\/strong\u003E Mentor engineers, support technical onboarding, and contribute to interviewing and hiring.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EStakeholder communication:\u003C\/strong\u003E Communicate tradeoffs, delivery status, and risks clearly; provide crisp technical recommendations aligned to business outcomes.\u003C\/li\u003E\u003C\/ul\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003EQualifications\u003C\/strong\u003E\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003ERequired (full stack & system design)\u003C\/strong\u003E\u003C\/p\u003E\u003Cul style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cli\u003E6+ years professional software engineering experience with modern full-stack delivery.\u003C\/li\u003E\u003Cli\u003E3+ years building and deploying cloud-native solutions on AWS\/Azure\/GCP.\u003C\/li\u003E\u003Cli\u003E1+ years hands-on experience delivering GenAI capabilities in products or internal platforms.\u003C\/li\u003E\u003Cli\u003EPrior experience with system design capability (distributed systems fundamentals, API-first design, scalability, resiliency, caching, data modeling, and security patterns).\u003C\/li\u003E\u003Cli\u003EPrior experience with multiple of the following (depth in at least one primary stack): Angular and\/or React, Node.js, Python, C#, .NET Core, Java, and\/or Golang, SQL and NoSQL databases\u003C\/li\u003E\u003Cli\u003EPrior experience with object-oriented programming (OOP), data structures\/algorithms, secure coding, and performance considerations.\u003C\/li\u003E\u003Cli\u003EPrior experience driving quality through code reviews, automated testing, and clean engineering practices.\u003C\/li\u003E\u003C\/ul\u003E\u003Cul style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cli\u003EPrior experience with DevSecOps practices (CI\/CD, branching strategies, automated testing, security scanning, quality gates).\u003C\/li\u003E\u003Cli\u003EPrior experience with privacy\/security engineering practices: PII classification, least privilege, encryption in transit\/at rest, secrets handling, retention controls, and audit logging.\u003C\/li\u003E\u003Cli\u003EPrior experience with observability and operational readiness (logs\/metrics\/traces; incident practices where applicable).\u003C\/li\u003E\u003C\/ul\u003E\u003Cul style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cli\u003EPrior experience integrating with one or more LLM providers (e.g., OpenAI, Anthropic Claude, Google Gemini) and applying appropriate usage patterns.\u003C\/li\u003E\u003Cli\u003EPrior experience with GenAI building blocks: Orchestration frameworks (e.g., LangChain and LangGraph or equivalent), Embeddings and vector databases, Prompt engineering and structured outputs, Practical evaluation approaches and basic guardrails (grounding, input\/output controls, safety filters)\u003C\/li\u003E\u003Cli\u003EPrior experience with Python proficiency for GenAI services, pipelines, and evaluation utilities.\u003C\/li\u003E\u003Cli\u003EMust be able to obtain US Government security clearance.\u003C\/li\u003E\u003Cli\u003EAbility to travel 0-10%, on average, based on the work you do and the clients and industries\/sectors you serve\u003C\/li\u003E\u003C\/ul\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003EThe wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ \u003Cspan data-teams=\"true\"\u003E144,300\u003C\/span\u003E to $ 296,100.\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003EYou may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003EInformation for applicants with a need for accommodation: \u003Ca href=\"https:\/\/www2.deloitte.com\/us\/en\/pages\/careers\/articles\/join-deloitte-assistance-for-disabled-applicants.html\" data-mce-href=\"https:\/\/www2.deloitte.com\/us\/en\/pages\/careers\/articles\/join-deloitte-assistance-for-disabled-applicants.html\"\u003Ehttps:\/\/www2.deloitte.com\/us\/en\/pages\/careers\/articles\/join-deloitte-assistance-for-disabled-applicants.html\u003C\/a\u003E \u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003EPXE_JOBS, EA_ITS_ExpHire\u003C\/p\u003E", "responsibilities": "\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003EEngineering Leader\u003C\/strong\u003E\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003ERole summary\u003C\/strong\u003E\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003ELead a full-stack engineering workstream delivering cloud-native products and Generative AI (GenAI) capabilities. You will guide day-to-day technical execution, ensure secure and reliable delivery, and partner with product, design, and stakeholders to translate requirements into working software\u2014while incorporating strong system design and privacy-by-design practices.\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003ERecruiting for this role ends on 2\/28\/2026\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003EKey responsibilities\u003C\/strong\u003E\u003C\/p\u003E\u003Cul style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cli\u003E\u003Cstrong\u003EWorkstream leadership:\u003C\/strong\u003E Own delivery for an engineering workstream (scope, plan, dependencies, risks), coordinating across engineers, product, QA, and platform\/security partners.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003ESystem design & architecture:\u003C\/strong\u003E Produce and socialize system designs (component diagrams, sequence flows, data flows, scalability\/resiliency patterns, failure modes), and drive design reviews and technical tradeoffs.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EHands-on full-stack delivery:\u003C\/strong\u003E Design and build front-end and back-end components; review code, improve test coverage, and drive pragmatic engineering standards.\u003C\/li\u003E\u003Cli\u003EGenAI implementation: Deliver GenAI features using patterns like Retrieval Augmented Generation (RAG), prompt design, tool\/function calling, and agent-style workflows.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EAgent orchestration with LangGraph:\u003C\/strong\u003E Build and maintain multi-step GenAI workflows using LangGraph (stateful execution, routing, tool use, human-in-the-loop patterns), including traceability and evaluation.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003ECloud-native engineering:\u003C\/strong\u003E Build and operate solutions on AWS, Azure, and\/or Google Cloud Platform (GCP) using Platform as a Service (PaaS), Functions as a Service (FaaS), containers, and microservices.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EDevSecOps execution:\u003C\/strong\u003E Implement continuous integration\/continuous delivery (CI\/CD), quality gates, security scanning, and release practices using tools such as Azure DevOps (ADO) and\/or GitHub, plus static analysis tools (e.g., SonarQube).\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EReliability & operations:\u003C\/strong\u003E Apply Site Reliability Engineering (SRE) fundamentals\u2014instrumentation, monitoring\/alerting, incident response readiness, and post-incident improvement.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EPrivacy & data protection:\u003C\/strong\u003E Embed privacy factors into design and delivery (data minimization, purpose limitation, retention, consent\/notice where applicable, access controls, encryption, secrets management, auditing). Ensure GenAI solutions address PII\/PHI handling, data residency needs, and safe logging\/telemetry practices.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EAgile delivery:\u003C\/strong\u003E Operate within Scaled Agile Framework (SAFe), Lean, and Extreme Programming (XP) practices as applicable; contribute to sprint planning, story refinement, and technical acceptance criteria.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003ECoaching & team development:\u003C\/strong\u003E Mentor engineers, support technical onboarding, and contribute to interviewing and hiring.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EStakeholder communication:\u003C\/strong\u003E Communicate tradeoffs, delivery status, and risks clearly; provide crisp technical recommendations aligned to business outcomes.\u003C\/li\u003E\u003C\/ul\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003EQualifications\u003C\/strong\u003E\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003ERequired (full stack & system design)\u003C\/strong\u003E\u003C\/p\u003E\u003Cul style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cli\u003E6+ years professional software engineering experience with modern full-stack delivery.\u003C\/li\u003E\u003Cli\u003E3+ years building and deploying cloud-native solutions on AWS\/Azure\/GCP.\u003C\/li\u003E\u003Cli\u003E1+ years hands-on experience delivering GenAI capabilities in products or internal platforms.\u003C\/li\u003E\u003Cli\u003EPrior experience with system design capability (distributed systems fundamentals, API-first design, scalability, resiliency, caching, data modeling, and security patterns).\u003C\/li\u003E\u003Cli\u003EPrior experience with multiple of the following (depth in at least one primary stack): Angular and\/or React, Node.js, Python, C#, .NET Core, Java, and\/or Golang, SQL and NoSQL databases\u003C\/li\u003E\u003Cli\u003EPrior experience with object-oriented programming (OOP), data structures\/algorithms, secure coding, and performance considerations.\u003C\/li\u003E\u003Cli\u003EPrior experience driving quality through code reviews, automated testing, and clean engineering practices.\u003C\/li\u003E\u003C\/ul\u003E\u003Cul style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cli\u003EPrior experience with DevSecOps practices (CI\/CD, branching strategies, automated testing, security scanning, quality gates).\u003C\/li\u003E\u003Cli\u003EPrior experience with privacy\/security engineering practices: PII classification, least privilege, encryption in transit\/at rest, secrets handling, retention controls, and audit logging.\u003C\/li\u003E\u003Cli\u003EPrior experience with observability and operational readiness (logs\/metrics\/traces; incident practices where applicable).\u003C\/li\u003E\u003C\/ul\u003E\u003Cul style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cli\u003EPrior experience integrating with one or more LLM providers (e.g., OpenAI, Anthropic Claude, Google Gemini) and applying appropriate usage patterns.\u003C\/li\u003E\u003Cli\u003EPrior experience with GenAI building blocks: Orchestration frameworks (e.g., LangChain and LangGraph or equivalent), Embeddings and vector databases, Prompt engineering and structured outputs, Practical evaluation approaches and basic guardrails (grounding, input\/output controls, safety filters)\u003C\/li\u003E\u003Cli\u003EPrior experience with Python proficiency for GenAI services, pipelines, and evaluation utilities.\u003C\/li\u003E\u003Cli\u003EMust be able to obtain US Government security clearance.\u003C\/li\u003E\u003Cli\u003EAbility to travel 0-10%, on average, based on the work you do and the clients and industries\/sectors you serve\u003C\/li\u003E\u003C\/ul\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003EThe wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ \u003Cspan data-teams=\"true\"\u003E144,300\u003C\/span\u003E to $ 296,100.\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003EYou may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003EInformation for applicants with a need for accommodation: \u003Ca href=\"https:\/\/www2.deloitte.com\/us\/en\/pages\/careers\/articles\/join-deloitte-assistance-for-disabled-applicants.html\" data-mce-href=\"https:\/\/www2.deloitte.com\/us\/en\/pages\/careers\/articles\/join-deloitte-assistance-for-disabled-applicants.html\"\u003Ehttps:\/\/www2.deloitte.com\/us\/en\/pages\/careers\/articles\/join-deloitte-assistance-for-disabled-applicants.html\u003C\/a\u003E \u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003EPXE_JOBS, EA_ITS_ExpHire\u003C\/p\u003E", "skills": "\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003EEngineering Leader\u003C\/strong\u003E\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003ERole summary\u003C\/strong\u003E\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003ELead a full-stack engineering workstream delivering cloud-native products and Generative AI (GenAI) capabilities. You will guide day-to-day technical execution, ensure secure and reliable delivery, and partner with product, design, and stakeholders to translate requirements into working software\u2014while incorporating strong system design and privacy-by-design practices.\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003ERecruiting for this role ends on 2\/28\/2026\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003EKey responsibilities\u003C\/strong\u003E\u003C\/p\u003E\u003Cul style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cli\u003E\u003Cstrong\u003EWorkstream leadership:\u003C\/strong\u003E Own delivery for an engineering workstream (scope, plan, dependencies, risks), coordinating across engineers, product, QA, and platform\/security partners.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003ESystem design & architecture:\u003C\/strong\u003E Produce and socialize system designs (component diagrams, sequence flows, data flows, scalability\/resiliency patterns, failure modes), and drive design reviews and technical tradeoffs.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EHands-on full-stack delivery:\u003C\/strong\u003E Design and build front-end and back-end components; review code, improve test coverage, and drive pragmatic engineering standards.\u003C\/li\u003E\u003Cli\u003EGenAI implementation: Deliver GenAI features using patterns like Retrieval Augmented Generation (RAG), prompt design, tool\/function calling, and agent-style workflows.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EAgent orchestration with LangGraph:\u003C\/strong\u003E Build and maintain multi-step GenAI workflows using LangGraph (stateful execution, routing, tool use, human-in-the-loop patterns), including traceability and evaluation.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003ECloud-native engineering:\u003C\/strong\u003E Build and operate solutions on AWS, Azure, and\/or Google Cloud Platform (GCP) using Platform as a Service (PaaS), Functions as a Service (FaaS), containers, and microservices.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EDevSecOps execution:\u003C\/strong\u003E Implement continuous integration\/continuous delivery (CI\/CD), quality gates, security scanning, and release practices using tools such as Azure DevOps (ADO) and\/or GitHub, plus static analysis tools (e.g., SonarQube).\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EReliability & operations:\u003C\/strong\u003E Apply Site Reliability Engineering (SRE) fundamentals\u2014instrumentation, monitoring\/alerting, incident response readiness, and post-incident improvement.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EPrivacy & data protection:\u003C\/strong\u003E Embed privacy factors into design and delivery (data minimization, purpose limitation, retention, consent\/notice where applicable, access controls, encryption, secrets management, auditing). Ensure GenAI solutions address PII\/PHI handling, data residency needs, and safe logging\/telemetry practices.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EAgile delivery:\u003C\/strong\u003E Operate within Scaled Agile Framework (SAFe), Lean, and Extreme Programming (XP) practices as applicable; contribute to sprint planning, story refinement, and technical acceptance criteria.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003ECoaching & team development:\u003C\/strong\u003E Mentor engineers, support technical onboarding, and contribute to interviewing and hiring.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EStakeholder communication:\u003C\/strong\u003E Communicate tradeoffs, delivery status, and risks clearly; provide crisp technical recommendations aligned to business outcomes.\u003C\/li\u003E\u003C\/ul\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003EQualifications\u003C\/strong\u003E\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003ERequired (full stack & system design)\u003C\/strong\u003E\u003C\/p\u003E\u003Cul style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cli\u003E6+ years professional software engineering experience with modern full-stack delivery.\u003C\/li\u003E\u003Cli\u003E3+ years building and deploying cloud-native solutions on AWS\/Azure\/GCP.\u003C\/li\u003E\u003Cli\u003E1+ years hands-on experience delivering GenAI capabilities in products or internal platforms.\u003C\/li\u003E\u003Cli\u003EPrior experience with system design capability (distributed systems fundamentals, API-first design, scalability, resiliency, caching, data modeling, and security patterns).\u003C\/li\u003E\u003Cli\u003EPrior experience with multiple of the following (depth in at least one primary stack): Angular and\/or React, Node.js, Python, C#, .NET Core, Java, and\/or Golang, SQL and NoSQL databases\u003C\/li\u003E\u003Cli\u003EPrior experience with object-oriented programming (OOP), data structures\/algorithms, secure coding, and performance considerations.\u003C\/li\u003E\u003Cli\u003EPrior experience driving quality through code reviews, automated testing, and clean engineering practices.\u003C\/li\u003E\u003C\/ul\u003E\u003Cul style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cli\u003EPrior experience with DevSecOps practices (CI\/CD, branching strategies, automated testing, security scanning, quality gates).\u003C\/li\u003E\u003Cli\u003EPrior experience with privacy\/security engineering practices: PII classification, least privilege, encryption in transit\/at rest, secrets handling, retention controls, and audit logging.\u003C\/li\u003E\u003Cli\u003EPrior experience with observability and operational readiness (logs\/metrics\/traces; incident practices where applicable).\u003C\/li\u003E\u003C\/ul\u003E\u003Cul style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cli\u003EPrior experience integrating with one or more LLM providers (e.g., OpenAI, Anthropic Claude, Google Gemini) and applying appropriate usage patterns.\u003C\/li\u003E\u003Cli\u003EPrior experience with GenAI building blocks: Orchestration frameworks (e.g., LangChain and LangGraph or equivalent), Embeddings and vector databases, Prompt engineering and structured outputs, Practical evaluation approaches and basic guardrails (grounding, input\/output controls, safety filters)\u003C\/li\u003E\u003Cli\u003EPrior experience with Python proficiency for GenAI services, pipelines, and evaluation utilities.\u003C\/li\u003E\u003Cli\u003EMust be able to obtain US Government security clearance.\u003C\/li\u003E\u003Cli\u003EAbility to travel 0-10%, on average, based on the work you do and the clients and industries\/sectors you serve\u003C\/li\u003E\u003C\/ul\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003EThe wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ \u003Cspan data-teams=\"true\"\u003E144,300\u003C\/span\u003E to $ 296,100.\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003EYou may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003EInformation for applicants with a need for accommodation: \u003Ca href=\"https:\/\/www2.deloitte.com\/us\/en\/pages\/careers\/articles\/join-deloitte-assistance-for-disabled-applicants.html\" data-mce-href=\"https:\/\/www2.deloitte.com\/us\/en\/pages\/careers\/articles\/join-deloitte-assistance-for-disabled-applicants.html\"\u003Ehttps:\/\/www2.deloitte.com\/us\/en\/pages\/careers\/articles\/join-deloitte-assistance-for-disabled-applicants.html\u003C\/a\u003E \u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003EPXE_JOBS, EA_ITS_ExpHire\u003C\/p\u003E", "specialCommitments": "", "validThrough" : "2026-02-28", "title" : "US E ES Product Engineering | PxE Platforms | Group Engineering Leader" }

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US E ES Product Engineering | PxE Platforms | Group Engineering Leader

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US E ES Product Engineering | PxE Platforms | Group Engineering Leader

at Deloitte

Mid LevelNo visa sponsorshipAWS/GCP/Azure DevOps

Posted 5 days ago

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Compensation
$144,300 – $296,100 USD

Currency: $ (USD)

City
Atlanta, Austin, Birmingham, Boise, Boston, Chicago, Dallas, Davenport, Denver, Hartford, Huntsville, Houston, Indianapolis, Jacksonville, Jersey City, Kansas City, Las Vegas, Los Angeles, Louisville, Miami, Minneapolis, Mechanicsburg, New York City, Philadelphia, Pittsburgh, Portland, Princeton, Raleigh, Richmond, Rochester, Sacramento, Salt Lake City, San Antonio, San Francisco, San Jose, Seattle, Stamford, Tallahassee, Tampa, Tempe, Tulsa, Washington DC
Country
United States

Lead a full-stack engineering workstream delivering cloud-native products and Generative AI (GenAI) capabilities. You will guide day-to-day technical execution, ensure secure and reliable delivery, and partner with product, design, and stakeholders to translate requirements into working software—while incorporating strong system design and privacy-by-design practices. This role requires coordinating across engineering, product, QA, security, and operations, with hands-on experience across cloud platforms and DevSecOps practices.

Product Engineering | PxE Platforms | Group Engineering Leader

Engineering and Product | Engineering Management
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Position Summary

Engineering Leader

Role summary

Lead a full-stack engineering workstream delivering cloud-native products and Generative AI (GenAI) capabilities. You will guide day-to-day technical execution, ensure secure and reliable delivery, and partner with product, design, and stakeholders to translate requirements into working software—while incorporating strong system design and privacy-by-design practices.

Recruiting for this role ends on 2/28/2026

Key responsibilities

  • Workstream leadership: Own delivery for an engineering workstream (scope, plan, dependencies, risks), coordinating across engineers, product, QA, and platform/security partners.
  • System design & architecture: Produce and socialize system designs (component diagrams, sequence flows, data flows, scalability/resiliency patterns, failure modes), and drive design reviews and technical tradeoffs.
  • Hands-on full-stack delivery: Design and build front-end and back-end components; review code, improve test coverage, and drive pragmatic engineering standards.
  • GenAI implementation: Deliver GenAI features using patterns like Retrieval Augmented Generation (RAG), prompt design, tool/function calling, and agent-style workflows.
  • Agent orchestration with LangGraph: Build and maintain multi-step GenAI workflows using LangGraph (stateful execution, routing, tool use, human-in-the-loop patterns), including traceability and evaluation.
  • Cloud-native engineering: Build and operate solutions on AWS, Azure, and/or Google Cloud Platform (GCP) using Platform as a Service (PaaS), Functions as a Service (FaaS), containers, and microservices.
  • DevSecOps execution: Implement continuous integration/continuous delivery (CI/CD), quality gates, security scanning, and release practices using tools such as Azure DevOps (ADO) and/or GitHub, plus static analysis tools (e.g., SonarQube).
  • Reliability & operations: Apply Site Reliability Engineering (SRE) fundamentals—instrumentation, monitoring/alerting, incident response readiness, and post-incident improvement.
  • Privacy & data protection: Embed privacy factors into design and delivery (data minimization, purpose limitation, retention, consent/notice where applicable, access controls, encryption, secrets management, auditing). Ensure GenAI solutions address PII/PHI handling, data residency needs, and safe logging/telemetry practices.
  • Agile delivery: Operate within Scaled Agile Framework (SAFe), Lean, and Extreme Programming (XP) practices as applicable; contribute to sprint planning, story refinement, and technical acceptance criteria.
  • Coaching & team development: Mentor engineers, support technical onboarding, and contribute to interviewing and hiring.
  • Stakeholder communication: Communicate tradeoffs, delivery status, and risks clearly; provide crisp technical recommendations aligned to business outcomes.

Qualifications

Required (full stack & system design)

  • 6+ years professional software engineering experience with modern full-stack delivery.
  • 3+ years building and deploying cloud-native solutions on AWS/Azure/GCP.
  • 1+ years hands-on experience delivering GenAI capabilities in products or internal platforms.
  • Prior experience with system design capability (distributed systems fundamentals, API-first design, scalability, resiliency, caching, data modeling, and security patterns).
  • Prior experience with multiple of the following (depth in at least one primary stack): Angular and/or React, Node.js, Python, C#, .NET Core, Java, and/or Golang, SQL and NoSQL databases
  • Prior experience with object-oriented programming (OOP), data structures/algorithms, secure coding, and performance considerations.
  • Prior experience driving quality through code reviews, automated testing, and clean engineering practices.
  • Prior experience with DevSecOps practices (CI/CD, branching strategies, automated testing, security scanning, quality gates).
  • Prior experience with privacy/security engineering practices: PII classification, least privilege, encryption in transit/at rest, secrets handling, retention controls, and audit logging.
  • Prior experience with observability and operational readiness (logs/metrics/traces; incident practices where applicable).
  • Prior experience integrating with one or more LLM providers (e.g., OpenAI, Anthropic Claude, Google Gemini) and applying appropriate usage patterns.
  • Prior experience with GenAI building blocks: Orchestration frameworks (e.g., LangChain and LangGraph or equivalent), Embeddings and vector databases, Prompt engineering and structured outputs, Practical evaluation approaches and basic guardrails (grounding, input/output controls, safety filters)
  • Prior experience with Python proficiency for GenAI services, pipelines, and evaluation utilities.
  • Must be able to obtain US Government security clearance.
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ 144,300 to $ 296,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html 

PXE_JOBS, EA_ITS_ExpHire

Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.
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Benefits

At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
Our people and culture

Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. 
Our purpose

Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.  Learn more.
Professional development

From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
As used in this posting, "Deloitte" means Deloitte Services LP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles’s Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. 
Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers
Requisition code: 322365
Job ID 322365
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We would like to clarify that:

  • At Deloitte, ethics and integrity are fundamental and not negotiable.
  • We are against corruption and neither offer bribes nor accept them, nor induce or permit any other party to make or receive bribes on our behalf.
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  • No one other than designated Deloitte personnel (e.g., a Deloitte recruiter or Deloitte hiring partner) is permitted to extend any job offer from Deloitte.

Anyone who at any time has made or makes any payment to any party in exchange for promises of job or selection for a job with Deloitte or any matter related to this (including those for ‘registration’, ‘verification’ or ‘security deposit’) or otherwise engages with any such person who has made or makes fraudulent promises or offers, does so (or has done so) entirely at their own risk. Deloitte takes no responsibility or liability for any such unauthorized or fraudulent actions or engagements. We encourage jobseekers to exercise caution.

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You will guide day-to-day technical execution, ensure secure and reliable delivery, and partner with product, design, and stakeholders to translate requirements into working software\u2014while incorporating strong system design and privacy-by-design practices.\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003ERecruiting for this role ends on 2\/28\/2026\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003EKey responsibilities\u003C\/strong\u003E\u003C\/p\u003E\u003Cul style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cli\u003E\u003Cstrong\u003EWorkstream leadership:\u003C\/strong\u003E Own delivery for an engineering workstream (scope, plan, dependencies, risks), coordinating across engineers, product, QA, and platform\/security partners.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003ESystem design & architecture:\u003C\/strong\u003E Produce and socialize system designs (component diagrams, sequence flows, data flows, scalability\/resiliency patterns, failure modes), and drive design reviews and technical tradeoffs.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EHands-on full-stack delivery:\u003C\/strong\u003E Design and build front-end and back-end components; review code, improve test coverage, and drive pragmatic engineering standards.\u003C\/li\u003E\u003Cli\u003EGenAI implementation: Deliver GenAI features using patterns like Retrieval Augmented Generation (RAG), prompt design, tool\/function calling, and agent-style workflows.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EAgent orchestration with LangGraph:\u003C\/strong\u003E Build and maintain multi-step GenAI workflows using LangGraph (stateful execution, routing, tool use, human-in-the-loop patterns), including traceability and evaluation.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003ECloud-native engineering:\u003C\/strong\u003E Build and operate solutions on AWS, Azure, and\/or Google Cloud Platform (GCP) using Platform as a Service (PaaS), Functions as a Service (FaaS), containers, and microservices.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EDevSecOps execution:\u003C\/strong\u003E Implement continuous integration\/continuous delivery (CI\/CD), quality gates, security scanning, and release practices using tools such as Azure DevOps (ADO) and\/or GitHub, plus static analysis tools (e.g., SonarQube).\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EReliability & operations:\u003C\/strong\u003E Apply Site Reliability Engineering (SRE) fundamentals\u2014instrumentation, monitoring\/alerting, incident response readiness, and post-incident improvement.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EPrivacy & data protection:\u003C\/strong\u003E Embed privacy factors into design and delivery (data minimization, purpose limitation, retention, consent\/notice where applicable, access controls, encryption, secrets management, auditing). Ensure GenAI solutions address PII\/PHI handling, data residency needs, and safe logging\/telemetry practices.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EAgile delivery:\u003C\/strong\u003E Operate within Scaled Agile Framework (SAFe), Lean, and Extreme Programming (XP) practices as applicable; contribute to sprint planning, story refinement, and technical acceptance criteria.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003ECoaching & team development:\u003C\/strong\u003E Mentor engineers, support technical onboarding, and contribute to interviewing and hiring.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EStakeholder communication:\u003C\/strong\u003E Communicate tradeoffs, delivery status, and risks clearly; provide crisp technical recommendations aligned to business outcomes.\u003C\/li\u003E\u003C\/ul\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003EQualifications\u003C\/strong\u003E\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003ERequired (full stack & system design)\u003C\/strong\u003E\u003C\/p\u003E\u003Cul style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cli\u003E6+ years professional software engineering experience with modern full-stack delivery.\u003C\/li\u003E\u003Cli\u003E3+ years building and deploying cloud-native solutions on AWS\/Azure\/GCP.\u003C\/li\u003E\u003Cli\u003E1+ years hands-on experience delivering GenAI capabilities in products or internal platforms.\u003C\/li\u003E\u003Cli\u003EPrior experience with system design capability (distributed systems fundamentals, API-first design, scalability, resiliency, caching, data modeling, and security patterns).\u003C\/li\u003E\u003Cli\u003EPrior experience with multiple of the following (depth in at least one primary stack): Angular and\/or React, Node.js, Python, C#, .NET Core, Java, and\/or Golang, SQL and NoSQL databases\u003C\/li\u003E\u003Cli\u003EPrior experience with object-oriented programming (OOP), data structures\/algorithms, secure coding, and performance considerations.\u003C\/li\u003E\u003Cli\u003EPrior experience driving quality through code reviews, automated testing, and clean engineering practices.\u003C\/li\u003E\u003C\/ul\u003E\u003Cul style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cli\u003EPrior experience with DevSecOps practices (CI\/CD, branching strategies, automated testing, security scanning, quality gates).\u003C\/li\u003E\u003Cli\u003EPrior experience with privacy\/security engineering practices: PII classification, least privilege, encryption in transit\/at rest, secrets handling, retention controls, and audit logging.\u003C\/li\u003E\u003Cli\u003EPrior experience with observability and operational readiness (logs\/metrics\/traces; incident practices where applicable).\u003C\/li\u003E\u003C\/ul\u003E\u003Cul style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cli\u003EPrior experience integrating with one or more LLM providers (e.g., OpenAI, Anthropic Claude, Google Gemini) and applying appropriate usage patterns.\u003C\/li\u003E\u003Cli\u003EPrior experience with GenAI building blocks: Orchestration frameworks (e.g., LangChain and LangGraph or equivalent), Embeddings and vector databases, Prompt engineering and structured outputs, Practical evaluation approaches and basic guardrails (grounding, input\/output controls, safety filters)\u003C\/li\u003E\u003Cli\u003EPrior experience with Python proficiency for GenAI services, pipelines, and evaluation utilities.\u003C\/li\u003E\u003Cli\u003EMust be able to obtain US Government security clearance.\u003C\/li\u003E\u003Cli\u003EAbility to travel 0-10%, on average, based on the work you do and the clients and industries\/sectors you serve\u003C\/li\u003E\u003C\/ul\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003EThe wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ \u003Cspan data-teams=\"true\"\u003E144,300\u003C\/span\u003E to $ 296,100.\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003EYou may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003EInformation for applicants with a need for accommodation: \u003Ca href=\"https:\/\/www2.deloitte.com\/us\/en\/pages\/careers\/articles\/join-deloitte-assistance-for-disabled-applicants.html\" data-mce-href=\"https:\/\/www2.deloitte.com\/us\/en\/pages\/careers\/articles\/join-deloitte-assistance-for-disabled-applicants.html\"\u003Ehttps:\/\/www2.deloitte.com\/us\/en\/pages\/careers\/articles\/join-deloitte-assistance-for-disabled-applicants.html\u003C\/a\u003E \u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003EPXE_JOBS, EA_ITS_ExpHire\u003C\/p\u003E", "industry": "", "occupationalCategory": "", "qualifications": "\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003EEngineering Leader\u003C\/strong\u003E\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003ERole summary\u003C\/strong\u003E\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003ELead a full-stack engineering workstream delivering cloud-native products and Generative AI (GenAI) capabilities. You will guide day-to-day technical execution, ensure secure and reliable delivery, and partner with product, design, and stakeholders to translate requirements into working software\u2014while incorporating strong system design and privacy-by-design practices.\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003ERecruiting for this role ends on 2\/28\/2026\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003EKey responsibilities\u003C\/strong\u003E\u003C\/p\u003E\u003Cul style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cli\u003E\u003Cstrong\u003EWorkstream leadership:\u003C\/strong\u003E Own delivery for an engineering workstream (scope, plan, dependencies, risks), coordinating across engineers, product, QA, and platform\/security partners.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003ESystem design & architecture:\u003C\/strong\u003E Produce and socialize system designs (component diagrams, sequence flows, data flows, scalability\/resiliency patterns, failure modes), and drive design reviews and technical tradeoffs.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EHands-on full-stack delivery:\u003C\/strong\u003E Design and build front-end and back-end components; review code, improve test coverage, and drive pragmatic engineering standards.\u003C\/li\u003E\u003Cli\u003EGenAI implementation: Deliver GenAI features using patterns like Retrieval Augmented Generation (RAG), prompt design, tool\/function calling, and agent-style workflows.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EAgent orchestration with LangGraph:\u003C\/strong\u003E Build and maintain multi-step GenAI workflows using LangGraph (stateful execution, routing, tool use, human-in-the-loop patterns), including traceability and evaluation.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003ECloud-native engineering:\u003C\/strong\u003E Build and operate solutions on AWS, Azure, and\/or Google Cloud Platform (GCP) using Platform as a Service (PaaS), Functions as a Service (FaaS), containers, and microservices.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EDevSecOps execution:\u003C\/strong\u003E Implement continuous integration\/continuous delivery (CI\/CD), quality gates, security scanning, and release practices using tools such as Azure DevOps (ADO) and\/or GitHub, plus static analysis tools (e.g., SonarQube).\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EReliability & operations:\u003C\/strong\u003E Apply Site Reliability Engineering (SRE) fundamentals\u2014instrumentation, monitoring\/alerting, incident response readiness, and post-incident improvement.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EPrivacy & data protection:\u003C\/strong\u003E Embed privacy factors into design and delivery (data minimization, purpose limitation, retention, consent\/notice where applicable, access controls, encryption, secrets management, auditing). Ensure GenAI solutions address PII\/PHI handling, data residency needs, and safe logging\/telemetry practices.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EAgile delivery:\u003C\/strong\u003E Operate within Scaled Agile Framework (SAFe), Lean, and Extreme Programming (XP) practices as applicable; contribute to sprint planning, story refinement, and technical acceptance criteria.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003ECoaching & team development:\u003C\/strong\u003E Mentor engineers, support technical onboarding, and contribute to interviewing and hiring.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EStakeholder communication:\u003C\/strong\u003E Communicate tradeoffs, delivery status, and risks clearly; provide crisp technical recommendations aligned to business outcomes.\u003C\/li\u003E\u003C\/ul\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003EQualifications\u003C\/strong\u003E\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003ERequired (full stack & system design)\u003C\/strong\u003E\u003C\/p\u003E\u003Cul style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cli\u003E6+ years professional software engineering experience with modern full-stack delivery.\u003C\/li\u003E\u003Cli\u003E3+ years building and deploying cloud-native solutions on AWS\/Azure\/GCP.\u003C\/li\u003E\u003Cli\u003E1+ years hands-on experience delivering GenAI capabilities in products or internal platforms.\u003C\/li\u003E\u003Cli\u003EPrior experience with system design capability (distributed systems fundamentals, API-first design, scalability, resiliency, caching, data modeling, and security patterns).\u003C\/li\u003E\u003Cli\u003EPrior experience with multiple of the following (depth in at least one primary stack): Angular and\/or React, Node.js, Python, C#, .NET Core, Java, and\/or Golang, SQL and NoSQL databases\u003C\/li\u003E\u003Cli\u003EPrior experience with object-oriented programming (OOP), data structures\/algorithms, secure coding, and performance considerations.\u003C\/li\u003E\u003Cli\u003EPrior experience driving quality through code reviews, automated testing, and clean engineering practices.\u003C\/li\u003E\u003C\/ul\u003E\u003Cul style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cli\u003EPrior experience with DevSecOps practices (CI\/CD, branching strategies, automated testing, security scanning, quality gates).\u003C\/li\u003E\u003Cli\u003EPrior experience with privacy\/security engineering practices: PII classification, least privilege, encryption in transit\/at rest, secrets handling, retention controls, and audit logging.\u003C\/li\u003E\u003Cli\u003EPrior experience with observability and operational readiness (logs\/metrics\/traces; incident practices where applicable).\u003C\/li\u003E\u003C\/ul\u003E\u003Cul style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cli\u003EPrior experience integrating with one or more LLM providers (e.g., OpenAI, Anthropic Claude, Google Gemini) and applying appropriate usage patterns.\u003C\/li\u003E\u003Cli\u003EPrior experience with GenAI building blocks: Orchestration frameworks (e.g., LangChain and LangGraph or equivalent), Embeddings and vector databases, Prompt engineering and structured outputs, Practical evaluation approaches and basic guardrails (grounding, input\/output controls, safety filters)\u003C\/li\u003E\u003Cli\u003EPrior experience with Python proficiency for GenAI services, pipelines, and evaluation utilities.\u003C\/li\u003E\u003Cli\u003EMust be able to obtain US Government security clearance.\u003C\/li\u003E\u003Cli\u003EAbility to travel 0-10%, on average, based on the work you do and the clients and industries\/sectors you serve\u003C\/li\u003E\u003C\/ul\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003EThe wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ \u003Cspan data-teams=\"true\"\u003E144,300\u003C\/span\u003E to $ 296,100.\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003EYou may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003EInformation for applicants with a need for accommodation: \u003Ca href=\"https:\/\/www2.deloitte.com\/us\/en\/pages\/careers\/articles\/join-deloitte-assistance-for-disabled-applicants.html\" data-mce-href=\"https:\/\/www2.deloitte.com\/us\/en\/pages\/careers\/articles\/join-deloitte-assistance-for-disabled-applicants.html\"\u003Ehttps:\/\/www2.deloitte.com\/us\/en\/pages\/careers\/articles\/join-deloitte-assistance-for-disabled-applicants.html\u003C\/a\u003E \u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003EPXE_JOBS, EA_ITS_ExpHire\u003C\/p\u003E", "responsibilities": "\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003EEngineering Leader\u003C\/strong\u003E\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003ERole summary\u003C\/strong\u003E\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003ELead a full-stack engineering workstream delivering cloud-native products and Generative AI (GenAI) capabilities. You will guide day-to-day technical execution, ensure secure and reliable delivery, and partner with product, design, and stakeholders to translate requirements into working software\u2014while incorporating strong system design and privacy-by-design practices.\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003ERecruiting for this role ends on 2\/28\/2026\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003EKey responsibilities\u003C\/strong\u003E\u003C\/p\u003E\u003Cul style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cli\u003E\u003Cstrong\u003EWorkstream leadership:\u003C\/strong\u003E Own delivery for an engineering workstream (scope, plan, dependencies, risks), coordinating across engineers, product, QA, and platform\/security partners.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003ESystem design & architecture:\u003C\/strong\u003E Produce and socialize system designs (component diagrams, sequence flows, data flows, scalability\/resiliency patterns, failure modes), and drive design reviews and technical tradeoffs.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EHands-on full-stack delivery:\u003C\/strong\u003E Design and build front-end and back-end components; review code, improve test coverage, and drive pragmatic engineering standards.\u003C\/li\u003E\u003Cli\u003EGenAI implementation: Deliver GenAI features using patterns like Retrieval Augmented Generation (RAG), prompt design, tool\/function calling, and agent-style workflows.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EAgent orchestration with LangGraph:\u003C\/strong\u003E Build and maintain multi-step GenAI workflows using LangGraph (stateful execution, routing, tool use, human-in-the-loop patterns), including traceability and evaluation.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003ECloud-native engineering:\u003C\/strong\u003E Build and operate solutions on AWS, Azure, and\/or Google Cloud Platform (GCP) using Platform as a Service (PaaS), Functions as a Service (FaaS), containers, and microservices.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EDevSecOps execution:\u003C\/strong\u003E Implement continuous integration\/continuous delivery (CI\/CD), quality gates, security scanning, and release practices using tools such as Azure DevOps (ADO) and\/or GitHub, plus static analysis tools (e.g., SonarQube).\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EReliability & operations:\u003C\/strong\u003E Apply Site Reliability Engineering (SRE) fundamentals\u2014instrumentation, monitoring\/alerting, incident response readiness, and post-incident improvement.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EPrivacy & data protection:\u003C\/strong\u003E Embed privacy factors into design and delivery (data minimization, purpose limitation, retention, consent\/notice where applicable, access controls, encryption, secrets management, auditing). Ensure GenAI solutions address PII\/PHI handling, data residency needs, and safe logging\/telemetry practices.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EAgile delivery:\u003C\/strong\u003E Operate within Scaled Agile Framework (SAFe), Lean, and Extreme Programming (XP) practices as applicable; contribute to sprint planning, story refinement, and technical acceptance criteria.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003ECoaching & team development:\u003C\/strong\u003E Mentor engineers, support technical onboarding, and contribute to interviewing and hiring.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EStakeholder communication:\u003C\/strong\u003E Communicate tradeoffs, delivery status, and risks clearly; provide crisp technical recommendations aligned to business outcomes.\u003C\/li\u003E\u003C\/ul\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003EQualifications\u003C\/strong\u003E\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003ERequired (full stack & system design)\u003C\/strong\u003E\u003C\/p\u003E\u003Cul style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cli\u003E6+ years professional software engineering experience with modern full-stack delivery.\u003C\/li\u003E\u003Cli\u003E3+ years building and deploying cloud-native solutions on AWS\/Azure\/GCP.\u003C\/li\u003E\u003Cli\u003E1+ years hands-on experience delivering GenAI capabilities in products or internal platforms.\u003C\/li\u003E\u003Cli\u003EPrior experience with system design capability (distributed systems fundamentals, API-first design, scalability, resiliency, caching, data modeling, and security patterns).\u003C\/li\u003E\u003Cli\u003EPrior experience with multiple of the following (depth in at least one primary stack): Angular and\/or React, Node.js, Python, C#, .NET Core, Java, and\/or Golang, SQL and NoSQL databases\u003C\/li\u003E\u003Cli\u003EPrior experience with object-oriented programming (OOP), data structures\/algorithms, secure coding, and performance considerations.\u003C\/li\u003E\u003Cli\u003EPrior experience driving quality through code reviews, automated testing, and clean engineering practices.\u003C\/li\u003E\u003C\/ul\u003E\u003Cul style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cli\u003EPrior experience with DevSecOps practices (CI\/CD, branching strategies, automated testing, security scanning, quality gates).\u003C\/li\u003E\u003Cli\u003EPrior experience with privacy\/security engineering practices: PII classification, least privilege, encryption in transit\/at rest, secrets handling, retention controls, and audit logging.\u003C\/li\u003E\u003Cli\u003EPrior experience with observability and operational readiness (logs\/metrics\/traces; incident practices where applicable).\u003C\/li\u003E\u003C\/ul\u003E\u003Cul style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cli\u003EPrior experience integrating with one or more LLM providers (e.g., OpenAI, Anthropic Claude, Google Gemini) and applying appropriate usage patterns.\u003C\/li\u003E\u003Cli\u003EPrior experience with GenAI building blocks: Orchestration frameworks (e.g., LangChain and LangGraph or equivalent), Embeddings and vector databases, Prompt engineering and structured outputs, Practical evaluation approaches and basic guardrails (grounding, input\/output controls, safety filters)\u003C\/li\u003E\u003Cli\u003EPrior experience with Python proficiency for GenAI services, pipelines, and evaluation utilities.\u003C\/li\u003E\u003Cli\u003EMust be able to obtain US Government security clearance.\u003C\/li\u003E\u003Cli\u003EAbility to travel 0-10%, on average, based on the work you do and the clients and industries\/sectors you serve\u003C\/li\u003E\u003C\/ul\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003EThe wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ \u003Cspan data-teams=\"true\"\u003E144,300\u003C\/span\u003E to $ 296,100.\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003EYou may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003EInformation for applicants with a need for accommodation: \u003Ca href=\"https:\/\/www2.deloitte.com\/us\/en\/pages\/careers\/articles\/join-deloitte-assistance-for-disabled-applicants.html\" data-mce-href=\"https:\/\/www2.deloitte.com\/us\/en\/pages\/careers\/articles\/join-deloitte-assistance-for-disabled-applicants.html\"\u003Ehttps:\/\/www2.deloitte.com\/us\/en\/pages\/careers\/articles\/join-deloitte-assistance-for-disabled-applicants.html\u003C\/a\u003E \u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003EPXE_JOBS, EA_ITS_ExpHire\u003C\/p\u003E", "skills": "\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003EEngineering Leader\u003C\/strong\u003E\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003ERole summary\u003C\/strong\u003E\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003ELead a full-stack engineering workstream delivering cloud-native products and Generative AI (GenAI) capabilities. You will guide day-to-day technical execution, ensure secure and reliable delivery, and partner with product, design, and stakeholders to translate requirements into working software\u2014while incorporating strong system design and privacy-by-design practices.\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003ERecruiting for this role ends on 2\/28\/2026\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003EKey responsibilities\u003C\/strong\u003E\u003C\/p\u003E\u003Cul style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cli\u003E\u003Cstrong\u003EWorkstream leadership:\u003C\/strong\u003E Own delivery for an engineering workstream (scope, plan, dependencies, risks), coordinating across engineers, product, QA, and platform\/security partners.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003ESystem design & architecture:\u003C\/strong\u003E Produce and socialize system designs (component diagrams, sequence flows, data flows, scalability\/resiliency patterns, failure modes), and drive design reviews and technical tradeoffs.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EHands-on full-stack delivery:\u003C\/strong\u003E Design and build front-end and back-end components; review code, improve test coverage, and drive pragmatic engineering standards.\u003C\/li\u003E\u003Cli\u003EGenAI implementation: Deliver GenAI features using patterns like Retrieval Augmented Generation (RAG), prompt design, tool\/function calling, and agent-style workflows.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EAgent orchestration with LangGraph:\u003C\/strong\u003E Build and maintain multi-step GenAI workflows using LangGraph (stateful execution, routing, tool use, human-in-the-loop patterns), including traceability and evaluation.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003ECloud-native engineering:\u003C\/strong\u003E Build and operate solutions on AWS, Azure, and\/or Google Cloud Platform (GCP) using Platform as a Service (PaaS), Functions as a Service (FaaS), containers, and microservices.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EDevSecOps execution:\u003C\/strong\u003E Implement continuous integration\/continuous delivery (CI\/CD), quality gates, security scanning, and release practices using tools such as Azure DevOps (ADO) and\/or GitHub, plus static analysis tools (e.g., SonarQube).\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EReliability & operations:\u003C\/strong\u003E Apply Site Reliability Engineering (SRE) fundamentals\u2014instrumentation, monitoring\/alerting, incident response readiness, and post-incident improvement.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EPrivacy & data protection:\u003C\/strong\u003E Embed privacy factors into design and delivery (data minimization, purpose limitation, retention, consent\/notice where applicable, access controls, encryption, secrets management, auditing). Ensure GenAI solutions address PII\/PHI handling, data residency needs, and safe logging\/telemetry practices.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EAgile delivery:\u003C\/strong\u003E Operate within Scaled Agile Framework (SAFe), Lean, and Extreme Programming (XP) practices as applicable; contribute to sprint planning, story refinement, and technical acceptance criteria.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003ECoaching & team development:\u003C\/strong\u003E Mentor engineers, support technical onboarding, and contribute to interviewing and hiring.\u003C\/li\u003E\u003Cli\u003E\u003Cstrong\u003EStakeholder communication:\u003C\/strong\u003E Communicate tradeoffs, delivery status, and risks clearly; provide crisp technical recommendations aligned to business outcomes.\u003C\/li\u003E\u003C\/ul\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003EQualifications\u003C\/strong\u003E\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cstrong\u003ERequired (full stack & system design)\u003C\/strong\u003E\u003C\/p\u003E\u003Cul style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cli\u003E6+ years professional software engineering experience with modern full-stack delivery.\u003C\/li\u003E\u003Cli\u003E3+ years building and deploying cloud-native solutions on AWS\/Azure\/GCP.\u003C\/li\u003E\u003Cli\u003E1+ years hands-on experience delivering GenAI capabilities in products or internal platforms.\u003C\/li\u003E\u003Cli\u003EPrior experience with system design capability (distributed systems fundamentals, API-first design, scalability, resiliency, caching, data modeling, and security patterns).\u003C\/li\u003E\u003Cli\u003EPrior experience with multiple of the following (depth in at least one primary stack): Angular and\/or React, Node.js, Python, C#, .NET Core, Java, and\/or Golang, SQL and NoSQL databases\u003C\/li\u003E\u003Cli\u003EPrior experience with object-oriented programming (OOP), data structures\/algorithms, secure coding, and performance considerations.\u003C\/li\u003E\u003Cli\u003EPrior experience driving quality through code reviews, automated testing, and clean engineering practices.\u003C\/li\u003E\u003C\/ul\u003E\u003Cul style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cli\u003EPrior experience with DevSecOps practices (CI\/CD, branching strategies, automated testing, security scanning, quality gates).\u003C\/li\u003E\u003Cli\u003EPrior experience with privacy\/security engineering practices: PII classification, least privilege, encryption in transit\/at rest, secrets handling, retention controls, and audit logging.\u003C\/li\u003E\u003Cli\u003EPrior experience with observability and operational readiness (logs\/metrics\/traces; incident practices where applicable).\u003C\/li\u003E\u003C\/ul\u003E\u003Cul style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003E\u003Cli\u003EPrior experience integrating with one or more LLM providers (e.g., OpenAI, Anthropic Claude, Google Gemini) and applying appropriate usage patterns.\u003C\/li\u003E\u003Cli\u003EPrior experience with GenAI building blocks: Orchestration frameworks (e.g., LangChain and LangGraph or equivalent), Embeddings and vector databases, Prompt engineering and structured outputs, Practical evaluation approaches and basic guardrails (grounding, input\/output controls, safety filters)\u003C\/li\u003E\u003Cli\u003EPrior experience with Python proficiency for GenAI services, pipelines, and evaluation utilities.\u003C\/li\u003E\u003Cli\u003EMust be able to obtain US Government security clearance.\u003C\/li\u003E\u003Cli\u003EAbility to travel 0-10%, on average, based on the work you do and the clients and industries\/sectors you serve\u003C\/li\u003E\u003C\/ul\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003EThe wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ \u003Cspan data-teams=\"true\"\u003E144,300\u003C\/span\u003E to $ 296,100.\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003EYou may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.\u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003EInformation for applicants with a need for accommodation: \u003Ca href=\"https:\/\/www2.deloitte.com\/us\/en\/pages\/careers\/articles\/join-deloitte-assistance-for-disabled-applicants.html\" data-mce-href=\"https:\/\/www2.deloitte.com\/us\/en\/pages\/careers\/articles\/join-deloitte-assistance-for-disabled-applicants.html\"\u003Ehttps:\/\/www2.deloitte.com\/us\/en\/pages\/careers\/articles\/join-deloitte-assistance-for-disabled-applicants.html\u003C\/a\u003E \u003C\/p\u003E\u003Cp style=\"font-family: Verdana, Arial, Helvetica, sans-serif; font-size: 11px;\"\u003EPXE_JOBS, EA_ITS_ExpHire\u003C\/p\u003E", "specialCommitments": "", "validThrough" : "2026-02-28", "title" : "US E ES Product Engineering | PxE Platforms | Group Engineering Leader" }

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