Senior API Platform Lead: Secure, Scalable Microservices

JPMorgan Chase & Co.

Plano (TX)

On-site

USD 140,000 - 170,000

Full time

14 days+

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Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer to contribute to the API Platform within Consumer & Community Banking. You will design, build, and enhance scalable API offerings, working across multiple tech areas and collaborating with product managers, designers, and customers.

The role emphasizes secure production code, end-to-end problem solving, and driving architectural decisions with a strong focus on AI-assisted tooling to improve quality and delivery speed. Plano, TX onsite.

Qualifications

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
Hands-on programming/application development experience utilizing Java, Spring Boot, REST, Microservices, RDBMS and NoSQL databases, Cloud Native, Agile, DevOps, and TDD
Recent experience with a cloud platform such as AWS, and utilization of container technologies such as Docker and Kubernetes
Prior experience in building or using API Platforms, with deep expertise in one or more areas of the end-to-end API stack, including cloud connectivity, network diagnosis, resilient systems, API security, authentication/authorization, API gateways, and API design spanning specification, standards, documentation, and governance.
Advanced knowledge of software applications and technical processes, with considerable in-depth expertise in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Ability to tackle design and functionality problems independently with little to no oversight
Practical cloud native experience
Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

Responsibilities

Brings discipline and creativity to solve business-critical problems, working with tech leads, product managers, and designers to bring outcomes to fruition
Identifies opportunities to remove technical debt and works to improve the quality of engineering deliverables
Communicates with stakeholders and is comfortable leading discussions with customers
Develops secure and high-quality production code, and reviews and debugs code written by others
Drives decisions that influence product design, application functionality, technical operations, and processes, providing leadership grounded in technical expertise and effective communication
Serves as a function-wide subject matter expert in one or more areas of focus
Contributes to the engineering community as an advocate for firmwide frameworks, tools, and practices of the Software Development Life Cycle
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.