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. 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 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.
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 (Go is a plus).
Top Skills
What the Team is Saying
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.
Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.
Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.
©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
Gallery
JPMorganChase Teams
JPMorganChase Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
