Sr. Staff Software Engineer - Infrastructure Automation

Architect Google Cloud infrastructure - design secure, scalable, cost-effective cloud platforms using Terraform, with reusable Ansible playbooks and standardized configuration management. Own CI/CD and release engineering - design and continuously improve pipelines, automated testing, and deployment workflows (GitHub Actions, Jenkins). Set the technical bar - establish and enforce best practices for infrastructure as code, observability, security, compliance, and operational readiness across teams. Lead cross-functional initiatives - run architecture reviews and technical evaluations, and partner with application, security, architecture, database, and operations teams on integration and deployment. Drive AI-assisted infrastructure - identify and implement secure AI- and agent-driven solutions (including MCP server/tool integrations) that improve automation, incident troubleshooting, and developer productivity; set guidelines for responsible AI use in DevOps workflows. Support production reliability - participate in production readiness reviews, incident response, root-cause analysis, and disaster recovery planning. Mentor and multiply - provide technical direction to engineers, promote knowledge sharing, and maintain architecture documentation and operational runbooks. 10+ years in software engineering, DevOps, platform engineering, or infrastructure engineering, including leading large-scale cloud initiatives. Proven track record architecting complex, highly available, secure, cost-effective cloud platforms Google Cloud Platform strongly preferred. Extensive hands-on Terraform and Ansible experience, including reusable modules, testing, and lifecycle management at scale. Strong CI/CD experience (GitHub Actions, Jenkins) covering automated testing, release, and deployment workflows. Solid scripting ability in Python, Bash, PowerShell, or similar. Working knowledge of networking, IAM, cloud security/hardening, and compliance; experience with Docker and infrastructure testing (e.g., Terratest, policy-as-code). Demonstrated ability to lead cross-functional initiatives and influence technical decisions without formal authority. Experience with production support: incident response, root-cause analysis, disaster recovery, business continuity. Experience developing or integrating MCP servers, agent-driven tooling, or AI-assisted SDLC practices. Certifications in Terraform and/or Google Cloud Platform (GCP). Bachelor's or Master's degree in computer science, Engineering, or related field, or equivalent practical experience.