This listing doesn't post a salary. Most similar roles pay
$146,633–$214,875.
Based on 238 similar postings.
Employer
About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
JPMorgan Chase currently has
1151 open roles
on FindRole.
As a Lead Site Reliability Engineer within the Enterprise technology Infrastructure Platforms team, you will hold a leadership role providing technical guidance, mentoring, and oversight for complex products. You will build reliability into the platform by developing production-grade software, including automation, control loops, and self-healing tools to eliminate manual operations. Your daily work involves managing end-to-end service ownership regarding performance, security, and cost while leading incident triage and blameless post-mortems. You will utilize declarative, intent-based systems and manage telemetry data to drive automated remediation. Key technical requirements include proficiency in Python, Go, Java, C++, or Rust, along with experience in Kubernetes, Terraform, and CI/CD. You will also integrate enterprise-authorized AI capabilities into reliability workflows while ensuring security compliance. The role focuses on solving large-scale infrastructure challenges through systems thinking and robust observability using tools like Grafana, Prometheus, Splunk, Datadog, or Dynatrace.
Build production-grade software including automation, control loops, and self-healing tools to eliminate manual operations.
Implement declarative, intent-based systems that reconcile actual state to a trusted source of truth via automation.
Instrument telemetry and state data at scale to drive automated detection, diagnosis, and remediation.
Define and operationalize SLIs and SLOs with stakeholders to create actionable, impact-based alerting.
Own services end-to-end by managing reliability, performance, security, cost, and leading major incident response.
Integrate enterprise-authorized AI capabilities into the SDLC to accelerate triage, troubleshooting, and post-incident analysis.
Lead the adoption of AI-assisted reliability workflows across CI/CD pipelines and operational readiness practices.
Conduct resiliency design reviews and mentor other engineers on technical and business challenges.
What we're looking for
Formal training or certification on site reliability engineering concepts and 5+ years of applied experience.
Demonstrated experience using enterprise-authorized AI capabilities to improve SRE workflows with strong validation habits and data sensitivity awareness.
Ability to evaluate AI-assisted operational recommendations for correctness and risk while defining guardrails for team usage.
Strong production software engineering experience in an industry-standard language such as Python, Go, Java, C++, or Rust.
Proven ownership of production systems at scale, including on-call responsibility, incident response, and designing for reliability.
Demonstrated SLI/SLO/error-budget practice and deep observability skills using platforms like Grafana, Prometheus, Splunk, Datadog, or Dynatrace.
Strong *nix fundamentals and infrastructure automation experience with tools such as Kubernetes and Terraform.
Networking depth or experience in regulated environments (preferred).
Site Reliability Engineering
Python
Java
Spring Boot
.Net
AI
CI/CD
Container Orchestration
AWS
Observability
Monitoring
Telemetry
Networking
System Architecture
SDLC