Senior Site Reliability Engineer – Automation & GCP

Senior Site Reliability Engineer – Automation & GCP

Location: Chicago, IL
Employment Type: W2 Only
Job Title: Senior Site Reliability Engineer (Automation & GCP)

Job Summary

We are seeking a highly experienced Senior Site Reliability Engineer (SRE) – Automation & GCP to lead the design, implementation, and modernization of enterprise cloud infrastructure. The ideal candidate will have strong hands-on expertise in Python automation, Terraform, Terragrunt, Google Cloud Platform (GCP), and CI/CD pipeline engineering, along with experience integrating AI/ML capabilities into SRE operations.

This role combines hands-on engineering with technical leadership and architectural advisory responsibilities. The successful candidate will develop scalable automation frameworks, implement guardrail-driven workflows, and leverage AI-driven capabilities to improve observability, automate incident remediation, and enable self-healing infrastructure.

Key Responsibilities

• Automation Framework Development: Design, develop, and maintain scalable Python-based automation frameworks, CLI tools, and operational scripts to manage complex cloud infrastructure.

• Infrastructure as Code (IaC): Build and maintain enterprise-grade infrastructure using Terraform and Terragrunt, ensuring consistency, reusability, compliance, and repeatability across multiple environments.

• SRE Workflow Integration: Integrate automation workflows with JIRA, Git, and CI/CD pipelines to enable controlled, auditable, and reliable infrastructure operations.

• GCP Architecture and Engineering: Design, deploy, and manage scalable cloud-native solutions on Google Cloud Platform (GCP), following reliability, security, and operational best practices.

• AI/ML-Driven Automation: Implement GCP AI/ML capabilities, including Vertex AI and ML pipelines where applicable, to enhance monitoring, alerting, predictive analytics, and operational efficiency.

• Self-Healing Infrastructure: Develop automated remediation workflows, dynamic scaling strategies, and proactive incident response mechanisms to improve system resilience and reduce manual intervention.

• Configuration Management: Parse, validate, standardize, and manage configuration data across formats such as YAML, INI, and HCL within automated workflows.

• Guardrail-Driven Automation: Design deterministic automation procedures with appropriate validation, access controls, safety checks, and execution guardrails to support AI agents and orchestration engines.

• Reliability Engineering: Improve system availability, scalability, observability, incident response, and operational performance through SRE principles and engineering best practices.

• Technical Leadership: Provide architectural guidance, mentor engineering teams, and advise stakeholders on GCP, automation strategy, cloud reliability, and AI-enabled DevOps modernization.

Required Qualifications

• Expert-level Python programming skills, including experience developing CLI tools, operational scripts, and infrastructure automation frameworks.

• Extensive hands-on experience with Terraform and Terragrunt for enterprise-scale Infrastructure as Code implementations.

• Strong expertise in Google Cloud Platform (GCP), including cloud architecture, infrastructure deployment, monitoring, and operations.

• Deep understanding of Git version control, branching strategies, code reviews, and collaborative development practices.

• Proven experience designing, implementing, and maintaining CI/CD pipelines and automated deployment workflows.

• Hands-on experience with AI/ML-driven automation, Vertex AI, ML pipelines, predictive analytics, or intelligent operational tooling.

• Strong experience working with configuration formats such as YAML, INI, and HCL, including parsing, validation, and standardization.

• Ability to design deterministic, auditable automation workflows with well-defined guardrails for AI agents and orchestration platforms.

• Strong understanding of Site Reliability Engineering principles, including observability, incident management, service resilience, automation, and system scalability.

• Excellent problem-solving, communication, technical leadership, and stakeholder management skills.

• Ability to translate complex technical requirements into scalable engineering solutions aligned with business objectives.

Preferred Qualifications

• Google Cloud certifications in cloud architecture, engineering, or related disciplines.

• Experience implementing self-healing infrastructure and automated incident remediation.

• Experience integrating AI capabilities into DevOps, cloud operations, and SRE workflows.

• Experience working in enterprise-scale cloud environments with complex infrastructure and compliance requirements.