Staff SRE

• Posted 3 hours ago • Updated 3 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Operational Excellence
  • Leadership
  • Roadmaps
  • IaaS
  • FOCUS
  • Artificial Intelligence
  • Incident Management
  • Operational Efficiency
  • Budget
  • Mentorship
  • Reliability Engineering
  • DevOps
  • Systems Engineering
  • Software Engineering
  • IT Management
  • Python
  • Google Cloud Platform
  • Google Cloud
  • Migration
  • Generative Artificial Intelligence (AI)
  • Productivity
  • Workflow
  • Scalability
  • Terraform
  • Continuous Integration
  • Continuous Delivery
  • Communication
  • Apache Kafka
  • Cloud Computing
  • Kubernetes
  • High Availability

Summary

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 (Google Cloud Platform) 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90922487
  • Position Id: 24732086
  • Posted 3 hours ago
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