Join a dynamic team where your technical expertise shapes innovative solutions and advances your career. Make a meaningful impact by leading engineering initiatives and collaborating across teams.
As a Senior Lead Software Engineer at JPMorgan Chase within the Corporate Technology – Risk Technology team, you will lead the design and delivery of secure, scalable services with a strong focus on Python/Flask and APIs. You will drive business impact through hands-on engineering, architecture leadership, and disciplined use of approved AI-assisted development practices. You will collaborate with diverse teams and contribute to a culture of innovation and operational excellence.
Job responsibilities
Provide technical leadership and direction across engineering teams, partners, contractors, and vendors.
Design, build, and operate Python-centric services (primarily Flask) and REST APIs, ensuring versioning, reliability, and performance.
Develop secure, high-quality production code; conduct code reviews, debugging, and root-cause analysis.
Lead system and architecture design, produce and maintain technical designs and engineering standards.
Deploy and operate applications on GAIA Application Platform (GAP) (PaaS), leveraging platform services and tools.
Build and operate on AWS (API Gateway, Lambda, S3, ECS/EKS) with strong security, observability, and operational readiness.
Work with CockroachDB (CRDB) and SQL for schema design, query performance, and operational best practices.
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Perform data analysis and insight generation using Python and SQL to validate features, quantify impact, and produce business insights.
Drive adoption and governance of approved AI-assisted engineering practices with clear validation standards for correctness, performance, and security.
Required qualifications, capabilities and skills
Formal training or certification on software engineering concepts and 5+ years applied experience
Hands-on experience in system design, application development, testing, and production support.
Strong Python development experience; strong Flask expertise building APIs.
Strong knowledge of REST API design principles and best practices.
Experience with GAIA Application Platform (GAP) (PaaS).
Hands-on experience with AWS services including Lambda, S3, ECS/EKS, and API Gateway.
Strong database and SQL fundamentals.
Demonstrated strength in code reviews, secure coding, CI/CD, and operational excellence.
Experience using enterprise-authorized AI tools for engineering and setting team controls for safe and accurate usage.
Understanding of responsible AI usage in engineering workflows, including data sensitivity, secure handling, and resiliency expectations.
Preferred qualifications, capabilities and skills
Familiarity with the Athena framework and related ecosystem (e.g., Hydra database), including applying standard patterns for building and operating services.
experience with CockroachDB (CRDB) is preferred.
