Lead Site Reliability Engineer

JPMorgan Chase & Co.; Plano (TX); On-site; USD 150,000 - 230,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Site Reliability Engineer within the Infrastructure Platforms(Web Hosting) team. You will lead a team, drive reliability, and mentor others while shaping resiliency practices across enterprise platforms.

The role emphasizes defining reliability standards, facilitating design reviews, and leveraging AI-enabled capabilities to accelerate incident triage and post-incident analysis, ensuring scalable and secure web hosting services.

Qualifications

• Formal training or certification on site reliability engineering concepts and 5+ years applied experience.
• Proficient in observability and SRE best practices with measurable results.
• Fluency in at least one programming language (Python/Java/Ansible) and CI/CD proficiency.

Responsibilities

• Lead resiliency design reviews and mentor engineers.
• Break complex problems into actionable work.
• Serve as technical lead for medium to large products.
• Drive reliability improvements across web hosting platforms.
• Own incident response and post-incident analysis.
• Advise on AI-enabled reliability workflows.

Skills

SRE principles

Observability tools

Python/Java/Ansible

CI/CD tooling

Containers/Kubernetes

Networking basics

Mentoring

AI in reliability

Tools

Grafana

Dynatrace

Prometheus

CloudWatch

Splunk

Job description

Assume a critical role in defining the future of a globally recognized firm and have a direct and significant effect in a realm tailored for top achievers in site reliability.

As a Lead Site Reliability Engineer at JPMorganChase within the Infrastructure Platforms(Web Hosting) team, you hold a leadership role on your team, demonstrate strong knowledge across multiple technical domains, and advise others on the technical and business challenges they face. You will lead resiliency design reviews, break complex problems into digestible work for other engineers, act as a technical lead for medium to large-sized products, and provide advice and mentoring to your peers.

In this role, you will partner with stakeholders across engineering and the business to drive reliability, stability, and continuous improvement across web hosting platforms. Your expertise will directly influence service levels, incident response, and the adoption of modern reliability practices — including the responsible use of enterprise-authorized AI capabilities — ensuring the firm's platforms remain resilient, scalable, and secure.

Job responsibilities

• Consistently model and champion site reliability culture and practices, documenting and sharing knowledge across your organization through internal forums and communities of practice
• Lead initiatives to improve the reliability and stability of web hosting platforms using data-driven analytics to improve service levels, proactively identifying and resolving technology-related bottlenecks within your areas of expertise
• Drive collaboration with your team to identify comprehensive service level indicators and partner with stakeholders to establish reasonable service level objectives and error budgets with customers
• Serve as the primary point of contact during major incidents for your applications, applying deep technical expertise to identify and resolve issues quickly to minimize business impact
• Use enterprise-authorized AI capabilities to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data in accordance with sensitivity and security requirements
• Lead reuse-first adoption of AI-assisted reliability workflows across software development lifecycle and toolchain practices — including continuous integration/continuous delivery quality checks, test and validation automation, and operational readiness — ensuring traceability, auditability, resiliency, and security controls
• Provide ongoing guidance, tools, and solutions to support the firm's growth while working toward deep expertise on the applications and platforms within your scope, including their interdependencies and limitations
• Offer mentorship and technical advice to other engineers, helping to grow site reliability knowledge and capability across the team

Required qualifications, capabilities, and skills

• Formal training or certification on site reliability engineering concepts and 5+ years applied experience
• Demonstrated proficiency in reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices, with the ability to implement these within an application or platform
• Advanced knowledge of site reliability culture and principles with demonstrated ability to apply them within an application or platform environment
• Proficient knowledge and experience in observability, including white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, CloudWatch, or Splunk
• Demonstrated experience using enterprise-authorized AI capabilities to improve site reliability engineering 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 guardrails for team usage, and ensure outcomes align to resiliency and security expectations
• Fluency in at least one programming language such as Python, Java/Spring Boot, or Ansible
• Proficient with continuous integration and continuous delivery practices and tooling, as well as container and container orchestration technologies
• Experience troubleshooting common networking technologies and issues
• Strong communication skills with the ability to mentor and educate others on site reliability principles and practices

Preferred qualifications, capabilities, and skills

• Experience working with cloud platforms such as Amazon Web Services or Microsoft Azure, including an understanding of resiliency, scalability, and observability in cloud-native environments
• Experience as a site reliability engineer supporting complex, mission-critical applications involving multiple components across varying technical generations
• Exposure to artificial intelligence and machine learning concepts and their application in operational or reliability contexts
• Demonstrated drive to self-educate, evaluate emerging technologies, and recommend suitable solutions that advance platform reliability