Lead Site Reliability Engineer, Enterprise Tech

Salary: $61,000 - 101,000 per year Requirements:

• We require formal training or certification in site reliability engineering concepts, along with 5+ years of applied experience.
• We need demonstrated experience using enterprise-authorized AI capabilities at work to improve SRE workflows, such as incident investigation support and knowledge capture, with strong validation habits and awareness of data sensitivity.
• We expect the ability to assess AI-assisted operational recommendations for correctness and risk, establish guardrails for team usage, and ensure outcomes meet resiliency and security expectations.
• We require strong production software engineering experience in an industry-standard language such as Python, Go, Java, C++, or Rust, with end-to-end delivery and maintenance of real systems.
• We need proven ownership of production systems at scale, including on-call duties, incident response, postmortems, and reliability- and operability-focused design.
• We look for demonstrated SLI/SLO and error-budget experience, or clear ability and motivation to build and institutionalize it, using data to drive reliability decisions.
• We require deep observability skills, including white-box and black-box monitoring, SLO-based alerting, and high-quality telemetry using tools such as Grafana, Prometheus, Splunk, Datadog, or Dynatrace.
• We need strong nix fundamentals and infrastructure automation experience, including Kubernetes, Terraform, or CI/CD, with an automate-at-scale mindset.
• We expect systems thinking at scale, including clear interfaces and contracts, understanding of failure modes, safe rollouts, and management of complex service dependencies.
• We require a security-first, high-judgment operator and communicator who uses AI tools effectively, knows when not to use them, stays calm during high-severity events, and focuses on reliability, impact, and cost.
• Preferred: networking depth such as routing, switching, security, and packet or flow analysis, or experience operating network-adjacent platforms.
• Preferred: experience across multiple infrastructure domains or programming languages.
• Preferred: ongoing AI skill development, such as context or prompt engineering, agent orchestration, and using AI to redesign workflows for measurable impact.
• Preferred: prior experience in regulated or large-scale enterprise environments.
• Preferred: experience establishing engineering culture.

• We build reliability into the platform through production-grade software, including automation, control loops, self-healing, and tooling that removes manual operations.
• We use declarative, intent-based systems by storing desired state as data in a trusted source of truth and continuously reconciling actual state through automation.
• We treat telemetry and state data as core reliability assets by instrumenting consistently, collecting at scale, and using the data to drive detection, diagnosis, and closed-loop remediation.
• We define SLIs and SLOs with stakeholders and operationalize them through SLO-based alerting, standard telemetry practices, and actionable alerts tied to user impact.
• We own services end to end, including reliability, performance, security, and cost, while leading on-call and major incidents, driving toil reduction, and applying AI across the SDLC with strict validation.
• We use enterprise-authorized AI capabilities in the work environment to speed up major-incident triage, troubleshooting, and post-incident analysis while validating outputs and handling operational data according to sensitivity and security requirements.
• We lead reuse-first adoption of AI-assisted reliability workflows across SDLC and toolchain practices, such as CI/CD quality checks, test and validation automation, and operational readiness, while ensuring traceability, auditability, resiliency, and security controls.

• AI
• CI/CD
• Datadog
• Dynatrace
• Flow
• Grafana
• Support
• Java
• Kubernetes
• Marketing
• Network
• Prometheus
• Python
• Rust
• Security
• Splunk
• Terraform

More:

We are collaborating with J.P. Morgan to connect them with exceptional professionals for this role. As a Lead Site Reliability Engineer within JPMorgan Chases Enterprise Technology Infrastructure Platforms team, we offer a leadership position where you will shape resiliency design, guide medium to large product efforts, break down complex work for other engineers, and mentor the team. JPMorganChase is one of the worlds oldest financial institutions, serving millions of consumers, small businesses, and major corporate, institutional, and government clients through the J.P. Morgan and Chase brands. With more than 200 years of history, we are a leader in investment banking, consumer and small business banking, commercial banking, transaction processing, and asset management. We offer a competitive total rewards package, including base pay, possible incentive compensation, and a broad range of benefits and programs such as comprehensive health coverage, wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching. We value diversity, inclusion, and reasonable accommodations, and our Corporate Functions team supports the business across finance, risk, human resources, marketing, and other essential areas.

last updated 42 week of 2026