Lead Site Reliability Engineer (DSS)

There's nothing more exciting than being at the center of a rapidly growing field in technology and applying your skillsets to drive innovation and modernize the world's most complex and mission-critical systems. At JPMorganChase, we invest in our people and technology to deliver solutions that matter — and we want you to be part of that journey. You'll work alongside talented engineers, collaborate across teams, and grow your expertise in a culture that values curiosity, ownership, and continuous improvement.

As a Lead Site Reliability Engineer at JPMorganChase within the Infrastructure Data Platform, you will solve complex and broad business problems with simple and straightforward solutions. Through code and cloud infrastructure, you will configure, maintain, monitor, and optimize applications and their associated infrastructure to independently decompose and iteratively improve on existing solutions. You are a significant contributor to your team by sharing your knowledge of end-to-end operations, availability, reliability, and scalability of your application or platform.

Job Responsibilities

• Guide and assist others in building appropriate-level designs and gaining consensus from peers, supporting adoption of site reliability engineering best practices within your team
• Collaborate with software engineers and cross-functional teams to design, develop, test, and implement deployment and reliability approaches using automated continuous integration and continuous delivery pipelines
• Implement infrastructure, configuration, and network as code for the applications and platforms within your remit
• Collaborate with technical experts, key stakeholders, and team members to resolve complex problems and proactively address issues using service level indicators and objectives before they impact customers
• Apply enterprise-authorized AI capabilities within the work environment to identify patterns in operational signals that indicate reliability risk or recurring toil, prioritizing reuse-first improvements tied to service level objective outcomes
• Use enterprise-authorized AI capabilities within the work environment to accelerate incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements
• Champion availability, reliability, and scalability improvements within your applications and work iteratively with partners to drive measurable outcomes
• Proactively identify roadblocks and surface improvements to solve business problems, including exploring new technologies where appropriate

Required qualifications, capabilities, and skills

• Formal training or certification on site reliability engineering concepts and advanced applied experience
• Proficiency in site reliability culture and principles, with demonstrated ability to implement site reliability practices within an application or platform
• Proficiency in at least one programming language such as Python, Java/Spring Boot, or .NET
• Working knowledge of using enterprise-authorized AI capabilities within the work environment to support site reliability engineering workflows, with strong validation habits and awareness of data sensitivity
• Ability to validate AI-assisted operational recommendations before applying changes, escalating when uncertain and following data sensitivity requirements, while ensuring compliance with risk controls and company-wide standards
• Proficient knowledge of software applications and technical processes within a given technical discipline (e.g., cloud, artificial intelligence)
• Hands-on experience supporting cloud and data platforms, including AWS (e.g., EC2, Athena) and Snowflake, with a reliability-first mindset
• Experience in observability practices such as white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, or AppDynamics
• Experience with continuous integration and continuous delivery tooling (e.g., Jenkins, GitLab, Terraform)
• Familiarity with container technologies and orchestration, and experience troubleshooting common networking issues (e.g., Docker, Kubernetes, ECS)

Preferred qualifications, capabilities, and skills

• Strong understanding of release engineering practices, GitOps, branching strategies, and change management discipline
• Experience with incident management, on-call operations, capacity planning, and reliability engineering practices
• Experience authoring pipeline configuration (e.g., YAML) and infrastructure templates (e.g., Terraform or ARM)
• Demonstrated ability to assess risk, remain calm under pressure, and drive clear and timely resolution
• AWS and Azure experience; exposure to Oracle Cloud Infrastructure is a plus