As an AWS Lead Software Engineer-Full Stack/Java/Spark at JPMorgan Chase within the Corporate Sector's Risk Technology team, you will set the technical direction and orchestrate delivery for a dynamic engineering team. You will partner closely with product, design, and business stakeholders to gather requirements, clarify scope, and translate objectives into high-quality, scalable solutions. You’ll lead by example—innovating through modern engineering practices, elevating team standards, and ensuring predictable delivery from discovery through production support.

Job responsibilities
•    Lead a multi-disciplinary agile team, setting clear goals, engineering standards, and delivery plans. Mentor and coach engineers, grow talent, and foster a culture of craftsmanship, ownership, and psychological safety. Drive architectural decisions, design reviews, and technical governance; ensure alignment with long-term platform strategy.
•    Facilitate requirement gathering, story mapping, and scope definition with stakeholders; translate business needs into technical roadmaps. Own estimation, dependency management, and risk mitigation; maintain a healthy backlog and release plan. Communicate status and trade-offs clearly to stakeholders; ensure transparency on delivery and quality.
•    Design and build new applications with modern, cloud-native architectures; modernize legacy systems for resilience and performance. Implement batch and real-time components following best practices for reliability, security, operational efficiency, cost-effectiveness, and performance. Establish and enforce quality gates: code reviews, automated unit/integration/acceptance tests, and secure-by-default patterns.
•    Ensure strong CI/CD discipline, infrastructure-as-code, and automated deployments. Own production health with robust observability (metrics, logs, traces), incident response, and postmortems. Provide and coordinate Level 2 support; reduce toil and mean time to recovery through engineering improvements.
•    Champion experimentation and continuous learning; introduce pragmatic innovations that improve developer experience and customer outcomes. Participate and lead agile ceremonies: standups, sprint planning, backlog refinement, demos, retrospectives. 

• Contribute to a team culture of diversity, opportunity, inclusion, and respect.

Required qualifications, capabilities, and skills
•    Formal training or certification on software engineering concepts and 5+ years applied experience
•    Hands-on experience with Apache Spark or similar large-scale data processing engines
•    Experience designing, developing, and deploying software on AWS using services such as EC2, EKS, Lambda, S3, RDS, and Aurora
•    Strong analytical, troubleshooting, and performance tuning skills across distributed systems
•    Proven experience driving end-to-end delivery: requirements, architecture, implementation, testing, deployment, and operations
 

Preferred qualifications, capabilities, and skills
•    AWS certifications (Cloud Practitioner, Developer, or Solutions Architect)
•    Experience using Terraform to deliver infrastructure-as-code on public cloud
•    Experience in coding Java applications with Spring Boot; experience designing resilient APIs and data models
•    Experience in Linux scripting (Bash, KSH) or Python for automation and tooling
•    Practical experience with event streaming (e.g., Kafka), relational/NoSQL databases, caching, and messaging
•    Experience with CI/CD pipelines and tooling, test automation frameworks, and security best practices
•    Familiarity with observability stacks (e.g., Prometheus, Grafana, OpenTelemetry) and SRE principles

Drive technical direction and delivery for a collaborative engineering team, shaping impactful solutions and fostering growth