Senior Site Reliability Engineer – Automation & GCP

Location: Chicago IL (Hybrid 2 days a week)
Duration: 6 Months initial
Employment Type: W2 Only
Job Title: Senior Site Reliability Engineer (Automation & GCP)

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.

• 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.

• 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.

• 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.