DevOps - Lead Software Engineer
at J.P. Morgan
Posted a month ago
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- Compensation
- Not specified
- City
- Columbus
- Country
- United States
Currency: Not specified
Lead Software Engineer responsible for ensuring the reliability, scalability, and automation of AI-powered applications and cloud infrastructure. Build and maintain observability, monitoring, and telemetry, and design AI-driven solutions for intelligent alerting, noise reduction, auto-correlation, and self-healing workflows. Partner with engineering and stakeholders to drive operational excellence, mentor engineers on AIOps standards, and define the roadmap for AI-assisted SRE and observability. Requires hands-on AWS, observability tools, CI/CD experience, and strong automation and distributed systems knowledge.
Location: Columbus, OH, United States
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
