Hiring: Staff Site Reliability Engineer-Platform Company: CME Group Location: Chicago, IL Job Posted Time: 2026-09-16 12:56:02 Employment Type: Hybrid Target Skills & Keywords : Agile, ArgoCD, Derivatives, GCP, GitOps, IAM, IaC, Kafka, Kubernetes, Linear, Node.js, Python, Systems Engineering, Terraform About the job Experience: •10+ years in SRE, Systems Engineering, or Software Engineering roles within high-pressure environments. •3+ years in a Staff, Principal, or Tech Lead capacity overseeing multiple teams or complex platform domains. •Proven Track Record: Experience leading large-scale cloud migrations or re-architecting core messaging/compute platforms in a regulated environment. •Full-Stack Exposure: Proficiency in Node.js or modern front-end frameworks. •Domain Expertise: Experience in Financial Markets or highly regulated, high-concurrency environments. Required Skills: •Technical Vision & Roadmap: Define the 12–18 month technical strategy for the Platform SRE teams, focusing on the evolution of our global footprint and self-service capabilities. •Architectural Authority: Act as the final technical authority for major infrastructure changes involving GCP, GKE, and our mission-critical Kafka event bus. •Incident Command & Systemic Resilience: Lead the response for complex, cross-functional outages and drive a "blameless" culture that prioritizes systemic, code-based fixes over manual intervention. •Internal Development Platform (IDP): Architect and oversee the building of high-level abstractions in Python to mask underlying complexity, providing a seamless "Golden Path" for CME's global technology stack. •Reliability Governance: Standardize SLIs, SLOs, and Error Budgets across all platform teams, ensuring they are technically rigorous and directly tied to market integrity. •Engineering Mentorship: Level up the entire SRE organization through design reviews, architectural "office hours," and fostering an environment of continuous technical evolution. •Cloud-Native Leadership: Deep-seated expertise in GCP (Networking, IAM, GKE) and the ability to scale Kafka clusters for high-throughput, low-latency financial environments. •Distributed Systems Theory: A rigorous understanding of non-linear system behaviors, distributed consensus, and the nuances of high-concurrency architectures. Qualifications: •Software Engineering Mastery: Expert-level proficiency in Python (and ideally Go) to build production-grade distributed systems and custom Kubernetes operators. •Advanced IaC & GitOps: Mastery of Terraform module design and ArgoCD for managing immutable infrastructure at an enterprise scale. •Certifications: GCP Professional Cloud Architect or Kubernetes (CKA/CKAD). Compensation: •$132,100 - $220,100 / year •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!