Join a team where your engineering expertise directly protects the reliability and resilience of systems that matter at scale. At JPMorganChase, we invest in engineers who think beyond the code — who own outcomes, drive operational excellence, and raise the bar for how technology performs under pressure. As a Lead Software Engineer focused on Site Reliability and Operations Excellence, you will have the opportunity to shape how we respond to, learn from, and prevent incidents across a complex, high-stakes technology environment. This is a role where your impact is visible, your voice carries weight, and your work directly influences the stability of services relied upon by millions.
As a Lead Software Engineer - Site Reliability Engineer, Operations Excellence at JPMorganChase within the AI/ML & Data Platforms area, you will serve as a technical leader at the intersection of software engineering and reliability engineering — owning the incident management lifecycle, defining reliability standards, and partnering across Engineering, Product, Infrastructure, and Security to deliver durable operational improvements. You will bring structure to complexity, clarity to high-urgency situations, and a continuous improvement mindset to everything from alert quality to executive reporting. Your work will directly strengthen the firm's ability to detect, respond to, and prevent production issues at scale.
Job Responsibilities
- Own and continuously improve the incident management lifecycle, including triage, escalation, stakeholder communications, and recovery, ensuring consistent execution and measurable improvement over time.
- Serve as Incident Commander for major incidents, coaching responders to follow defined processes and site reliability engineering best practices while maintaining clear and timely stakeholder communication.
- Drive operational readiness through drills, game days, and failure-mode exercises that improve response effectiveness, surface gaps, and build team resilience before incidents occur.
- Define, implement, and enforce reliability standards across services, including service level indicators and objectives, error budgets, monitoring coverage, and alert quality.
- Strengthen change and release management practices by establishing readiness checks, progressive delivery standards, rollback procedures, runbook quality, and production hygiene expectations.
- Partner with Engineering, Product, Infrastructure, and Security teams to prioritize reliability work and deliver solutions that address user and operational pain points with lasting impact.
- Lead problem management and root cause analysis by debugging complex production issues, identifying systemic root causes, and driving durable remediation and preventative actions.
- Own reliability reporting and operational governance by tracking key performance indicators — including availability versus service level objectives, mean time to detect and recover, incident trends, alert noise, and change failure rate — and producing executive-ready summaries.
- Facilitate operational forums including operations reviews, incident review boards, and reliability councils to drive accountability, share learnings, and align stakeholders on priorities.
- 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.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and advanced applied experience.
- Demonstrated experience improving operational processes, including incident management, root cause analysis, problem management, and operational governance in complex production environments.
- Strong knowledge of reliability engineering concepts including service level objectives and indicators, error budgets, capacity planning, resilience patterns, and observability.
- Proven ability to influence across teams, drive cross-functional initiatives, and communicate clearly with stakeholders — particularly in high-urgency, time-sensitive situations.
- Strong analytical and reporting skills with the ability to define metrics, generate actionable insights, and drive decisions based on operational data.
- Hands-on experience with cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure, and infrastructure-as-code tooling including Terraform.
- Systematic problem-solving and troubleshooting skills applied to complex, distributed systems in production environments.
- Demonstrated ability to operate with a high degree of ownership, self-direction, and urgency in ambiguous or fast-moving situations.
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
Preferred qualifications, capabilities, and skills
- Experience leading reliability programs across multiple services or teams at a platform or domain level.
- Experience building automation for operations, including runbook automation, event correlation, alert tuning, and self-healing patterns.
- Exposure to agentic AI or AI-driven operations concepts, including workflow orchestration, decision support, and safe automation patterns.
- Familiarity with operational governance frameworks and experience facilitating reliability forums or review boards at scale.
Skills Required
- Formal training, certification, or equivalent practical experience in software engineering concepts
- Hands-on experience with system design, application development, testing, and operational stability in production
- Advanced proficiency in Python for building production-grade services and tooling
- Proficiency with automation and continuous delivery methods
- Hands-on experience with AWS and Terraform for infrastructure delivery and lifecycle management
- Strong understanding of site reliability engineering practices, including incident management and root-cause analysis
- Practical knowledge of observability and instrumentation across metrics, logs, and traces
- Comfort with on-call operations and production troubleshooting
- Hands-on production experience operating LLM inference servers such as vLLM and llm-d
- Hands-on experience hosting and serving LLMs on Amazon EKS and/or Amazon SageMaker, and on local GPU infrastructure
- Knowledge of LLM reliability and risk considerations (latency/throughput trade-offs, model versioning, rollout patterns)
- Experience developing generative AI applications, AI agents, vector search, and retrieval-augmented generation patterns
- Experience with agent frameworks (LangChain, CrewAI, LangGraph) or similar orchestration platforms
- Experience operating or integrating KServe, Ray Serve, NVIDIA Triton, Text Generation Inference (TGI)
- Familiarity with SageMaker JumpStart, SageMaker Endpoints, and Amazon Bedrock
- Experience with online LLM quality monitoring and OpenTelemetry tracing conventions
- Contributions to open-source LLM serving or inference projects (vLLM, llm-d, Ray, KServe, Triton)
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 comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
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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