Lead Site Reliability Engineer

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 JPMorgan Chase within the Enterprise technology, engineering services and platform team, you hold a leadership role in your team, demonstrate strong knowledge across multiple technical domains, and advise others on the technical and business issues facing them. Take lead and conduct resiliency design reviews, break up 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 other engineers.

• Guides and assists others in the areas of building appropriate level designs and gaining consensus from peers where appropriate
• Collaborates with other software engineers and teams to design and implement deployment approaches using automated continuous integration and continuous delivery pipelines
• Collaborates with other software engineers and teams to design, develop, test, and implement availability, reliability, scalability, and solutions in their applications
• Implements infrastructure, configuration, and network as code for the applications and platforms in your remit
• Collaborates with technical experts, key stakeholders, and team members to resolve complex problems
• Understands service level indicators and utilizes service level objectives to proactively resolve issues before they impact customers
• Supports the adoption of site reliability engineering best practices within your team
• Production 24
  * 7 support for business‑critical applications
• Uses 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.
• Leads reuse‑first adoption of AI‑assisted reliability workflows across SDLC/toolchain practices (e.g., CI/CD quality checks, test/validation automation, and operational readiness), ensuring traceability/auditability, resiliency, and security controls.

• Formal training or certification on site reliability engineering concepts and 5+ years applied experience
• Proficient in site reliability engineering (SRE) culture and principles, with experience implementing SRE practices within applications and platforms; strong observability background including white/black‑box monitoring, SLO‑based alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, and similar.
• Proficient in at least one programming language (e.g., Python, Java/Spring Boot, .NET) with strong knowledge of software applications and technical processes within a technical discipline such as cloud, artificial intelligence, Android, or related areas.
• Demonstrated experience using enterprise‑authorized AI capabilities within the work environment to improve SRE 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.
• Hands‑on experience with CI/CD tooling (e.g., Jenkins, Git Lab) and infrastructure automation using Terraform to build reliable, repeatable delivery pipelines.
• Strong familiarity with containers and orchestration platforms (Docker, Kubernetes, ECS), including deploying, scaling, and operating containerized services in production.
• Proven ability to troubleshoot and resolve common networking issues (DNS, TCP/IP, routing, TLS, load balancing), applying structured debugging to restore service quickly.
• Collaborative, proactive team contributor: communicates clearly and persuasively with minimal supervision, identifies roadblocks early, learns new technologies quickly, and has experience with event streaming platforms such as Kafka.

• Abi…