As a Site Reliability Engineering at JPMorgan Chase within the Enterprise technology, liquidity risk team, you are the non-functional requirement owner and champion for the applications in your remit. You are a key influencer in your team’s strategic planning, driving continual improvement in customer experience, resiliency, security, scalability, monitoring, instrumentation, and automation of the software in your area. You act in a blameless, data-driven manner and navigate difficult situations with composure and tact.
J****ob responsibilities
- Lead SRE practices that balance delivery speed, efficiency, and system stability
- Partner with engineering peers and senior stakeholders to drive strong, shared outcomes
- Scale SRE adoption across application and platform teams
- Set reliability expectations and show progress through stability and reliability metrics
- Run blameless, data-driven post-incident reviews and regular debriefs to turn lessons into improvements
- Build a continuous-improvement culture by gathering feedback and improving the customer experience
- Coach entry- to mid-level engineers and promote knowledge sharing through internal forums and communities
- 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.
Required qualifications, capabilities, and skills
- Formal training or certification in software engineering concepts plus 5+ years of applied experience
- Advanced knowledge of SRE principles and a track record of implementing SRE across application and platform teams while avoiding common pitfalls
- Experience leading technologists to manage and resolve complex technology issues at a firmwide level
- Ability to influence team culture by championing innovation and driving change
- Experience hiring, developing, and recognizing talent
- Proficiency in at least one programming language (preferred: JavaScript, Go, Python)
- Hands-on experience with CI/CD tools (e.g., Jenkins, GitLab, Terraform)
- Experience with containers and orchestration (e.g., Docker, Kubernetes, ECS)
- 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.
Preferred qualifications, capabilities, and skills
- Ability to code, troubleshoot, and demonstrate strong data fluency
- Strong troubleshooting skills across common networking technologies and issues
- Working knowledge of modern service and integration patterns, including GraphQL fundamentals, event-driven architecture (Kafka or equivalent), and observability/telemetry with OpenTelemetry