JPMorgan Chase
Lead Software Engineer - Full Stack
$157K–$215K
San Francisco, CA +2 · Full-time · Posted Aug 7, 2026
- Location
- San Francisco, CA
Palo Alto, CA
Plano, TX - Experience
- 5+ years applied experience; no alternatives stated.
- Education
- Formal training or certification on software engineering concepts.
About the job
Leads hands-on, end-to-end development and operation of full-stack network services, from system design and implementation through Kubernetes deployment and production support.
What you'll do
- Designs, builds, and operates scalable full-stack services across frontend, backend, workflow, and database layers.
- Leads Kubernetes deployment, monitoring, troubleshooting, performance tuning, and remediation of recurring operational issues.
- Guides team adoption of enterprise-authorized AI-assisted engineering practices with validation for correctness, security, and performance.
What they ask for
- Formal training or certification in software engineering concepts and 5+ years of applied experience.
- Full-stack engineering capability, including strong Python and React experience, and ability to deliver independently across the SDLC.
- Hands-on Kubernetes operations and experience with API gateways, Kafka, and event-driven architectures.
- Experience with Apache Airflow, distributed databases or SQL data stores, observability, CI/CD, automated testing, application security, and technical leadership.
Nice to have
- Experience delivering high-scale systems and production-readiness practices such as SLOs/SLIs, error budgets, runbooks, and incident management.
- Experience with agentic AI frameworks and model-to-tool integration patterns.
Pay
USD $156,750.00-$215,000.00 base salary (San Francisco, CA); USD $156,750.00-$215,000.00 base salary (Palo Alto, CA)
Tools
React/TypeScript, Python, Kubernetes, API gateways, Kafka, Apache Airflow, CockroachDB, Splunk, Grafana
AI focus
Leads adoption of enterprise-authorized AI-assisted development for coding, code review, refactoring, testing, and incident analysis; establishes validation standards and promotes responsible, secure use. Agentic AI framework experience is preferred.
Model-written summary · the original posting is authoritative