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.
- 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.
