Bulge Bracket Investment Banks

Senior lead Software Engineer

at J.P. Morgan

Mid LevelNo visa sponsorshipJava

Posted a month ago

No clicks

Compensation: Not specified
City: Jersey City
Country: United States

Senior Lead Software Engineer for the Employee Platform Chief Administration Office Technology at JPMorgan Chase, based in Jersey City, NJ. Lead an agile team to design, develop, review, and deliver secure, scalable production code across front-end and back-end technologies (React, Java, Python) while influencing product design and technical operations. Mentor and manage associate engineers, drive architectural and tooling decisions, and apply cloud-native (AWS) and data-integration (APIs, Kafka) practices to deliver unified user experiences.

Location: Jersey City, NJ, United States

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorgan Chase within the Employee Platform Chief Administration Office Technology, team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

Regularly provide technical guidance and direction to support the business and its technical teams, contractors, and vendors

Develop secure and high-quality production code, and review and debug code written by others

Drive decisions that influence the product design, application functionality, and technical operations and processes

Serve as a function-wide subject matter expert in one or more areas of focus

Actively contribute to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle

Influence peers and project decision-makers to consider the use and application of leading-edge technologies

Serve as a lead technologist to manage workload across Associate level software engineers

Add to the 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 practical experience delivering system design, application development, testing, and operational stability

Advanced in one or more programming language(s); primarily React front-end development, Java core platform, and Python frameworks for applying against RESTful and GraphQL API development

Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.), including GitHub Copilot for developer assistant tooling

Ability to tackle design and functionality problems independently with little to no oversight

Strong knowledge of building cross-functional data integrated systems using API, data streaming via Kafka to allow for seamless data exchange under a unified end user experience

Practical cloud native experience, primarily in AWS while applying cloud concepts to private cloud platforms

Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred qualifications, capabilities, and skills

Full stack development knowledge with strong enterprise architecture design concepts to allow for unified user experience leveraging data sharing capabilities with API, Kafka

Conceptual knowledge on building AI/ML foundational models to support Agentic AI orchestration including LLM components

Case management workflow and orchestration to serve as the backbone of a unified user experience across multiple cross-functional teams

Vibe coding experience and conceptual knowledge while leveraging developer assistant tools like GitHub Copilot to allow for efficiency gains

Data modeling concepts and design

Drive significant business impact and tackle a diverse array of challenges that span multiple technologies and applications

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