Lead Python Engineer: AI-Driven Observability

JPMorgan Chase & Co.; Houston (TX); On-site; USD 140,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer in Risk Corporate Technology to drive critical AI-enabled engineering across multiple business functions.

You will contribute as a core technical member, building secure, scalable software and data pipelines while advancing monitoring and reliability. The role emphasizes leadership in adopting enterprise AI-assisted practices, strong Python and SQL capabilities, and collaboration across teams to deliver trusted tech products in a demanding

Qualifications

• Formal training or certification on software engineering concepts with 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 and CI/CD, application resiliency, and security.
• Working knowledge of observability tools such as OTEL, Grafana, Splunk and Dynatrace.
• Strong SQL skills (joins, window functions, performance tuning).
• Proven ability to debug quickly and handle production issues.
• Experience delivering production-grade software with testing and code reviews.

Responsibilities

• Executes creative software solutions with ability to think beyond routine approaches.
• 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 fix.
• Develop and iterate on AI applications (LLM-powered workflows, retrieval, evaluation).
• Design and implement agentic systems (tool-using agents, orchestration, memory patterns).
• Create monitoring/observability: logging, metrics, traces, and alerting for AI/data services.
• Drives team adoption of enterprise AI-assisted engineering practices and validation standards.

Skills

Python

SQL

CI/CD

Security

Observability

AI tooling

Debugging

Communication

Leadership

Agile methodologies

Tools

Docker

Kubernetes

Airflow

OTEL

Grafana

Splunk

Dynatrace

Job description

JPMorgan Chase & Co. is seeking a Lead Software Engineer in Risk Corporate Technology to drive critical AI-enabled engineering across multiple business functions.

You will contribute as a core technical member, building secure, scalable software and data pipelines while advancing monitoring and reliability. The role emphasizes leadership in adopting enterprise AI-assisted practices, strong Python and SQL capabilities, and collaboration across teams to deliver trusted tech products in a demanding