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DevOps - Lead Software Engineer

Job in Columbus, Franklin County, Ohio, 43224, USA
Listing for: JPMorgan Chase & Co.
Full Time position
Listed on 2026-04-28
Job specializations:
  • IT/Tech
    Systems Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 110000 - 150000 USD Yearly USD 110000.00 150000.00 YEAR
Job Description & How to Apply Below

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 Enterprise Technology, 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, Dev Ops, or Platform Engineering roles.
  • Strong hands-on experience with AWS (ECS, Lambda, API Gateway, Bedrock, Cloud Watch, RDS, EKS).
  • Hands-on experience with AWS and LLM APIs.
  • Expertise in observability tools:
    Open Telemetry, Grafana, Prometheus, ELK, Cloud Watch.
  • Experience with CI/CD tools (Git Hub 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 Git Hub Copilot, windsurf.
  • Familiarity with prompt engineering, embeddings, and RAG pipelines.
  • Experience building operational copilots or chatbots for runbooks or troubleshooting.
  • Proficiency in Python
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