DevOps - Lead Software Engineer

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 CT, you will be responsible for ensuring the reliability, scalability, and automation of AI-powered applications and infrastructure. In this role, 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.

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 and 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.

Preferred qualifications, capabilities, and skills:

Experience with AI-powered coding assistants like GitHub Copilot, windsurf.

Familiarity with prompt engineering, embeddings, and RAG pipelines.

Experience building operational copilots or chatbots for runbooks or troubleshooting.

Proficiency in Python