Senior DevOps Engineer - GCP

We're looking for a Senior Agentic AI SRE to own the reliability, security and scalability of our agentic AI system on Google Cloud Platform (GCP). The role covers containers, identity and single sign-on (SSO), observability, CI/CD automation and production incident response. You'll also build AI agents that automate operations work.

• Own the availability, performance and capacity of the agentic AI system on GCP, and define and track SLOs and error budgets
• Run containerized workloads on Kubernetes (GKE and Cloud Run), including scaling, resilience and cost optimization
• Build end-to-end observability (metrics, logs, traces, alerts), including AI-specific signals: token usage, model latency and agent failure rates
• Automate CI/CD pipelines and build management, including versioning, artifact management, safe rollouts and infrastructure as code (Terraform)
• Implement SSO (OAuth 2.0, OIDC, SAML), IAM, secrets management and container supply-chain security
• Address AI security risks such as prompt injection, data leakage and unsafe agent actions
• Build AI agents that automate incident triage, build failure analysis, runbooks and self-healing
• Take part in on-call and the production war room, lead incident response and run blameless postmortems
• Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements

• Bachelor's degree in Computer Science or equivalent experience
• 8+ years in SRE, DevOps or platform engineering, with 3+ years running production cloud systems
• Hands-on SSO and identity experience: OAuth 2.0, OIDC, SAML, Entra ID or Okta
• Solid hands-on GCP experience: GKE, Cloud Run, IAM, networking and Cloud Operations Suite
• Proven production incident and war room experience
• Knowledge of CI/CD tools (GitHub Actions, Cloud Build, Jenkins or Argo CD) and Terraform
• Knowledge of observability tools such as OpenTelemetry, Prometheus, Grafana, Cloud Monitoring or Splunk
• Working knowledge of LLM and agentic systems, such as Vertex AI/Gemini, RAG and agent frameworks
• Expertise with Docker and Kubernetes
• Solid Python and Bash skills

• GCP or Kubernetes certifications: Professional Cloud DevOps Engineer, CKA or CKS
• Experience building AI agents for AIOps or ChatOps automation
• Experience with Model Context Protocol (MCP) or multi-agent orchestration
• Healthcare or other regulated-industry experience, including HIPAA
• Knowledge of LLM observability and evaluation tools such as LangSmith, Langfuse or Arize
• Knowledge of the OWASP Top 10 for LLM Applications
• Knowledge of policy as code (OPA) and supply-chain security (Binary Authorization, Sigstore)