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.
- 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.
- 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.
- 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 workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
- 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).
Skills Required
- Formal training or certification in software engineering concepts
- 5+ years of applied software engineering experience
- Strong experience in SRE, DevOps, or Platform Engineering
- Hands-on experience with AWS, including ECS, Lambda, API Gateway, Bedrock, CloudWatch, RDS, and EKS
- Hands-on experience with AWS Bedrock, OpenAI, or LLM APIs
- Expertise with observability tools including OpenTelemetry, Grafana, Prometheus, ELK, or CloudWatch
- Experience with CI/CD tools such as GitHub Actions, Jenkins, or Spinnaker
- Track record in automation, operational tooling, and event-driven workflows
- Understanding of distributed systems, microservices, and cloud architectures
- Experience leading AI-assisted software development practices and validating AI outputs for correctness, performance, and security
- Understanding of responsible AI use, data sensitivity, secure input/output handling, resiliency, and security expectations
- Experience coaching engineers on safe and compliant AI adoption
- Experience with AI-powered coding assistants such as GitHub Copilot or Windsurf
- Familiarity with prompt engineering, embeddings, and RAG pipelines
- Experience building operational copilots or troubleshooting chatbots
- Proficiency in Python
- Proficiency in Go
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
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.
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