Software Engineer III

JPMorgan Chase & Co.•Palo Alto, CA

6d•$137,750 - $185,000

About The Position

Be an integral part of an agile team that continually pushes boundaries to enhance, build, and deliver top-tier technology products. As a Software Engineer III at JPMorgan Chase within the Consumer & Community Banking API Marketplace team, you will play a pivotal role in designing, building, and enhancing the API Platform that empowers our API developers. We seek engineers with a broad technical perspective and a passion for solving complex challenges using expertise across multiple disciplines. In this role, you will manage end-to-end problem-solving, advocate for effective solutions across diverse technology stacks, and help promote significant business value for our customers through robust API offerings.

Requirements

Formal training or certification on software engineering concepts and 3+ 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. See qualifications below.
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
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.

Nice To Haves

Deep understanding of networking and connectivity, including diagnosing network latencies, DNS behavior, cloud connectivity, and content delivery networks
Strong knowledge of API security, including transport-level security, payload encryption, signature algorithms, certificate management, OAuth, and DDoS protection
Experience designing highly scalable and resilient software systems on public cloud platforms such as AWS, utilizing various resiliency design principles and practices
Expertise in API developer specifications, standards, and documentation, with prior experience driving adoption of best practices at scale
Familiarity with modern front-end technologies (e.g., React) is a plus

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
Clearly 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
Actively contributes to the engineering community as an advocate for firmwide frameworks, tools, and practices of the Software Development Life Cycle
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
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.