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.

We invest in our people, our platforms, and our future — and we want you to be part of it.

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

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