Lead Software Engineer - Python, Observability

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Risk Corporate Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.

As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities


* Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.


* Build and maintain Python services, scripts, and pipelines for data/AI use cases.


* Write efficient SQL for analysis, data validation, debugging, and performance tuning.


* Rapidly triage incidents: reproduce issues, isolate root cause, and implement fixes.


* Develop and iterate on AI applications (e.g., LLM-powered workflows, retrieval, evaluation).


* Design and implement agentic systems (tool-using agents, orchestration, guardrails, memory patterns where appropriate).


* Create monitoring/observability: logging, metrics, traces, and alerting for AI and data services.


* 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.


* Document system behavior, known failure modes, and support procedures

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering concepts and 5+ years applied experience


* minimum of 8 years industry experience.


* Strong Python engineering skills (data handling, APIs, concurrency basics, packaging).


* Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security


* Must have working knowledge in in various observability tools such as OTEL, Grafana, Splunk and Dynatrace


* Strong SQL skills (joins, window functions, query optimization, troubleshooting bad data).


* Proven ability to debug quickly and work through ambiguous production issues.


* Experience delivering production-grade software (testing, code reviews, version control).


* Strong communication skills-c...