> Markdown version of [/jobs/ext/3823249-site-reliability-engineer](https://www.wearedevelopers.com/jobs/ext/3823249-site-reliability-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Site Reliability Engineer - **Company:** DTI - **Location:** Chicago, IL, United States - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Cloud Engineering, Code Review, Continuous Integration, Python (Programming Language), Machine Learning, Reliability Engineering, YAML, Google Cloud, Agentic-AI, Git, Git Flow, Infrastructure Automation Frameworks, Deployment Automation, Machine Learning Operations, Terraform - **Published:** October 18, 2026 - **Apply:** https://www.thejobnetwork.com/job/8fb0bb65-61de-471b-bf8f-c61e662cd6a6/site-reliability-engineer ## About the Role 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., * Expert-level Python programming skills, including experience developing CLI tools, operational scripts, and infrastructure automation frameworks. \n * Extensive hands-on experience with Terraform and Terragrunt for enterprise-scale Infrastructure as Code implementations. \n * Strong expertise in Google Cloud Platform (GCP), including cloud architecture, infrastructure deployment, monitoring, and operations. \n * Deep understanding of Git version control, branching strategies, code reviews, and collaborative development practices. \n * Proven experience designing, implementing, and maintaining CI/CD pipelines and automated deployment workflows. \n * Hands-on experience with AI/ML-driven automation, Vertex AI, ML pipelines, predictive analytics, or intelligent operational tooling. \n * Strong experience working with configuration formats such as YAML, INI, and HCL, including parsing, validation, and standardization. \n * Ability to design deterministic, auditable automation workflows with well-defined guardrails for AI agents and orchestration platforms. \n * Strong understanding of Site Reliability Engineering principles, including observability, incident management, service resilience, automation, and system scalability. \n * Excellent problem-solving, communication, technical leadership, and stakeholder management skills. \n * Ability to translate complex technical requirements into scalable engineering solutions aligned with business objectives. \n