AI/LLM SRE Lead Software Engineer

Job description
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 JPMorgan Chase within the Employee Platforms team, you will be responsible for ensuring the reliability, scalability, and automation of AI-powered applications and infrastructure.

You will partner with engineering, and other stakeholders to deliver modern observability, intelligent incident response, and autonomic operations across our applications.

Job responsibilities


* Ensure reliability, scalability, and performance of AI-assisted application and platform operations.


* Design and implement AI-driven solutions for intelligent alerting, noise reduction & auto-correlation systems.


* Build and maintain observability, monitoring, and telemetry for AI application and platforms.


* Build and support automation for alerting, anomaly detection, and self-healing workflows.


* Collaborate with engineering, and other stakeholders to drive operational excellence.


* Mentor and guide engineers on AIOps standards and operational excellence.


* Define and execute the roadmap for AI-assisted SRE and observability.


* 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

Required qualifications, capabilities, and skills:


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


* Demonstrates strong experience in SRE, DevOps, or Platform Engineering roles.


* Strong hands-on experience with AWS (ECS, Lambda, API Gateway, Bedrock, CloudWatch, RDS, EKS).


* Hands-on experience with AWS Bedrock, OpenAI, or LLM APIs.


* Expertise in observability tools: OpenTelemetry, Grafana, Prometheus, ELK, CloudWatch.


* Experience with CI/CD tools (GitHub Actions, Jenkins, Spinnaker ).


* Proven track record in automation, operational tooling, and event-driven workflows.


* In-depth understanding of distributed systems, microservices, and cloud architectures.


* Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security


* Strong understanding of responsible AI use in engineering wor...