Lead Site Reliability Engineer -EPAS

JPMorganChase • Columbus, OH

1d

About The Position

As a Lead Site Reliability Engineer at JPMorgan Chase within EPAS, you will hold a leadership role on your team, demonstrate knowledge across multiple technical domains, and advise others on technical and business issues. You will lead resiliency design reviews, break complex problems into manageable work for other engineers, act as technical lead for medium- to large-sized products, and mentor other engineers.

The role focuses on improving the reliability and stability of applications and platforms through data-driven analytics, service-level practices, incident response, and the responsible use of enterprise-authorized AI capabilities. You will serve as the main point of contact during major incidents and lead adoption of reusable AI-assisted reliability workflows across the software development lifecycle and toolchain, with appropriate validation, traceability, resiliency, and security controls.

Requirements

• Formal training or certification in site reliability engineering concepts and at least 5 years of applied experience.
• Demonstrated proficiency in reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices.
• Fluency in at least one programming language, such as Python, Java/Spring Boot, or .NET.
• Experience using enterprise-authorized AI capabilities to improve SRE workflows, such as incident investigation support and knowledge capture, with strong validation habits and awareness of data sensitivity.
• Ability to evaluate AI-assisted operational recommendations for correctness and risk, define appropriate team usage guardrails, and ensure outcomes meet resiliency and security expectations.
• Proficient knowledge and experience in observability, including white- and black-box monitoring, service level objective alerting, and telemetry collection.
• Proficiency with continuous integration and continuous delivery practices and tooling.
• Proficiency with containers and container orchestration.
• Experience troubleshooting common networking technologies and issues.
• Advanced knowledge of software applications and technical processes, emerging depth in one or more technical disciplines, and an ability to self-educate to evaluate and recommend suitable new technologies.

Nice To Haves

• Ansible/AAP
• RHEL
• Dynatrace
• AWS

Responsibilities

• Model and champion site reliability culture and practices, and document and share knowledge through internal forums and communities of practice.
• Lead initiatives to improve the reliability and stability of applications and platforms using data-driven analytics to improve service levels, proactively identifying and addressing technology bottlenecks.
• Collaborate with the team to identify service level indicators and work with stakeholder partners to establish service level objectives and error budgets.
• Use enterprise-authorized AI capabilities to accelerate major-incident triage, troubleshooting, and post-incident analysis; validate outputs and handle operational data according to sensitivity and security requirements.
• Serve as the main point of contact during major incidents and identify and resolve issues quickly to avoid financial loss to the business.
• Provide technical expertise, advice, and mentorship to other engineers.
• Lead reuse-first adoption of AI-assisted reliability workflows across SDLC and toolchain practices, including CI/CD quality checks, test and validation automation, and operational readiness, ensuring traceability, auditability, resiliency, and security controls.
• Lead resiliency design reviews and act as technical lead for medium- to large-sized products.
• Break complex problems into manageable work for other engineers.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed