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.
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
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
Preferred qualifications, capabilities, and skills
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
Knowledge or familiarity with modern front-end technologies is a plus
Knowledge or experience with data engineering, data pipelines, or analytics platform is a plus
FEDERAL DEPOSIT INSURANCE ACT: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase’s review of criminal conviction history, including pretrial diversions or program entries.
