Assume a critical role in defining the future of a globally recognized firm and make a direct, meaningful impact in a space built for top achievers in site reliability engineering.

As a Lead Site Reliability Engineer at JPMorganChase within Infrastructure Platforms, you bring deep technical expertise across multiple domains and play a key role in driving reliability outcomes for your team. You will conduct resiliency design reviews, break complex problems into digestible work, act as a technical authority for medium to large-sized products, and share your knowledge and experience with peers to raise the bar across the team.

Job responsibilities

• Consistently champion site reliability culture and practices, documenting and sharing knowledge across your organization through internal forums and communities of practice
• Drive initiatives to improve the reliability and stability of your team's applications and platforms using data-driven analytics to improve service levels, proactively identifying and resolving technology-related bottlenecks
• Collaborate with your team to identify comprehensive service level indicators and partner with stakeholders to establish reasonable service level objectives and error budgets
• Design and implement observability frameworks and alerting strategies, including white and black box monitoring, service level objective-based alerting, and telemetry collection to ensure proactive detection and response
• Serve as the primary point of contact during major incidents for your application, applying strong diagnostic skills to identify and resolve issues quickly and minimize business impact
• Apply deep technical expertise within one or more technical domains, sharing knowledge and providing guidance to peers across the team
• Drive reuse-first adoption of AI-assisted reliability workflows across the software development lifecycle and toolchain practices (e.g., continuous integration/continuous delivery quality checks, test and validation automation, and operational readiness), ensuring traceability, auditability, resiliency, and security controls
• Use enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements

Required qualifications, capabilities, and skills

• Formal training or certification on site reliability engineering concepts and advanced applied experience
• Demonstrated hands-on experience with Amazon Web Services (AWS), including deploying, operating, and maintaining resilient, highly available workloads in a cloud environment
• Demonstrated proficiency in reliability, scalability, performance, and enterprise system architecture, with hands-on experience conducting resiliency design reviews and implementing resiliency best practices
• Fluency in at least one programming language such as Python, Java/Spring Boot, or .NET
• Proficient knowledge and experience in observability, including white and black box monitoring, service level objective alerting, and telemetry collection across large-scale production environments
• Proficiency with continuous integration and continuous delivery practices and tooling
• Proficiency with container technologies and container orchestration
• Experience troubleshooting common networking technologies and issues
• Advanced knowledge of software applications and technical processes with emerging depth in one or more technical disciplines, with a demonstrated ability to evaluate and recommend suitable new technologies
• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve site reliability engineering workflows (e.g., 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

Preferred qualifications, capabilities, and skills

• Experience with cloud platforms and infrastructure-as-code tooling in an enterprise environment
• Familiarity with chaos engineering principles and proactive resiliency testing practices
• Experience contributing to communities of practice, internal knowledge-sharing forums, or engineering guilds
• Exposure to advanced observability platforms and distributed tracing in large-scale production environments