Lead SRE - AWS,Python

Drive reliability at scale — join a team where your engineering expertise shapes the resilience of critical systems. JPMorgan Chase is one of the world's leading financial services firms, and the technology that powers it demands the highest standards of reliability, performance, and scale. Here, you will work alongside talented engineers who are passionate about building systems that never sleep — and you will have the opportunity to grow your career while solving some of the most complex infrastructure challenges in the industry.

As a Lead Site Reliability Engineer at JPMorgan Chase, you will play a critical role in ensuring the availability, performance, and resilience of production systems that serve millions of customers and clients globally. You will partner with engineering and product teams to embed reliability practices into the software development lifecycle, driving a culture of operational excellence. Your work will directly impact the firm's ability to deliver seamless, uninterrupted services at enterprise scale.

Job responsibilities:

• Lead the design and implementation of scalable, reliable, and observable infrastructure solutions that meet the firm's availability and performance standards.
• Define and enforce service level objectives, error budgets, and reliability targets in partnership with engineering and product stakeholders.
• Drive incident response, root cause analysis, and post-incident reviews to identify systemic improvements and reduce mean time to recovery.
• Develop and maintain automation frameworks to eliminate toil, improve deployment pipelines, and accelerate delivery velocity.
• Collaborate cross-functionally with software engineering, architecture, and security teams to embed reliability and resiliency principles early in the design process.
• Champion observability practices by building and maintaining monitoring, alerting, and dashboarding solutions that provide actionable insights into system health.
• Mentor and guide junior engineers, fostering a culture of continuous learning, operational discipline, and engineering excellence.
• Evaluate and influence platform and tooling decisions to ensure alignment with reliability, scalability, and security requirements.
• Leverage enterprise-authorized AI-assisted engineering practices to improve operational outcomes, including incident triage support, test strategy acceleration, and delivery workflow optimization, while ensuring consistent validation and secure handling of inputs and outputs.

Required qualifications, capabilities, and skills:

• Formal training or certification on site reliability engineering concepts and advanced applied experience.
• Hands-on experience designing and operating large-scale distributed systems with a strong focus on availability, fault tolerance, and performance.
• Proficiency in one or more programming or scripting languages (e.g., Python, Go, Java, Bash) for automation and tooling development.
• Experience defining and managing service level indicators, service level objectives, and error budgets in production environments.
• Strong background in observability tooling, including metrics, logging, and distributed tracing platforms.
• Demonstrated experience leading incident response processes, conducting blameless post-mortems, and driving systemic reliability improvements.
• Experience with container orchestration and infrastructure-as-code practices (e.g., Kubernetes, Terraform, or equivalent).
• Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.

Preferred qualifications, capabilities, and skills:

• Experience operating in a regulated financial services or similarly complex enterprise environment.
• Familiarity with chaos engineering principles and tools used to proactively test system resilience.
• Exposure to cloud-native architectures and multi-cloud or hybrid infrastructure environments.
• Experience contributing to platform engineering or internal developer tooling initiatives.
• Background in capacity planning, performance engineering, or cost optimization at scale.

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

Full time

Posting Date: 2026-08-25