Staff SRE

Selby Jennings Ltd

  • Chicago, IL
  • 18 days ago

    Highlights

    In this role you will drive cloud modernization, reliability engineering, platform automation, and AI-enabled operational excellence while serving as a trusted technical advisor to engineering leadership. A leading technology organization is seeking a Staff Site Reliability Engineer to provide technical leadership across a global Platform Engineering environment.

    Numbers & Facts

    LocationChicago, IL

    Description

    Staff Site Reliability Engineer (Technical Lead) - Platform Engineering

    Location: Chicago, IL (Hybrid)

    Overview

    A leading technology organization is seeking a Staff Site Reliability Engineer to provide technical leadership across a global Platform Engineering environment. In this role you will drive cloud modernization, reliability engineering, platform automation, and AI-enabled operational excellence while serving as a trusted technical advisor to engineering leadership.

    Responsibilities

    • Define and execute the technical roadmap for platform reliability, cloud infrastructure, and automation.
    • Lead enterprise-scale cloud migration and modernization initiatives, with a focus on Google Cloud Platform.
    • Serve as the technical authority for large-scale infrastructure and platform architecture decisions.
    • Drive adoption of AI and agentic technologies to improve automation, incident response, and operational efficiency.
    • Establish reliability standards including SLIs, SLOs, and error budgets.
    • Mentor engineers and provide architectural guidance across multiple teams.
    • Champion Infrastructure as Code, Kubernetes, GitOps, and cloud-native best practices.

    Qualifications

    • 7+ years of experience in Site Reliability Engineering, Platform Engineering, DevOps, Systems Engineering, or Software Engineering.
    • Experience as a Technical Lead, Staff Engineer, Principal Engineer, or recognized SME.
    • Expert-level Python development experience, including automation and distributed systems.
    • Strong hands-on experience with Google Cloud Platform (GCP) and Kubernetes.
    • Proven success leading cloud migration, platform transformation, or large-scale engineering initiatives.
    • Experience leveraging Generative AI and agentic tools to improve engineering productivity and operational workflows.
    • Deep understanding of distributed systems, scalability, observability, and high-availability architectures.
    • Experience with Terraform, CI/CD, and modern platform engineering practices.
    • Strong communication skills with the ability to influence technical and business stakeholders.

    Preferred

    • Experience supporting globally distributed, mission-critical platforms at enterprise scale.
    • Expertise with Kafka or large-scale event-driven architectures.
    • Cloud and Kubernetes certifications.
    • Background in highly regulated, high-availability, or performance-sensitive environments.

    This is a hybrid role based out of the firms Chicago office requiring 2 days of onsite work per week. At this time the team is unable to provide visa sponsorship.

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