Senior DevOps Engineer
Senior security-focused DevOps engineer responsible for improving platform security through architecture, automation, secure defaults, and observability. The role partners with engineering teams across Google Cloud, GKE, Kubernetes, identity, networking, CI/CD, and software supply chain security.
About the job
Responsibilities
- Shape security architecture across applications, cloud infrastructure, Kubernetes, networking, CI/CD, identity, and data flows.
- Partner with engineering teams on architecture and threat modeling to design secure systems before release.
- Turn security requirements and recurring risks into secure defaults, reusable platform capabilities, policy-as-code, and automated enforcement.
- Build automated security monitoring and response for CVE detection, prioritization, remediation, verification, alerting, and control-failure visibility.
- Design and operate secure infrastructure primarily on Google Cloud and GKE.
- Implement controls for IAM/RBAC, workload identity, least privilege, secrets, environment isolation, network segmentation, container security, and software supply chain security.
- Build automation, infrastructure tooling, and CI/CD systems using GitOps, Terraform/OpenTofu, Crossplane, Argo, APIs, SDKs, and code.
Requirements
- 5+ years in Platform, DevOps, SRE, Infrastructure, Cloud Security, or related engineering roles with meaningful production ownership.
- Deep security engineering knowledge across application, cloud, Kubernetes, identity, networking, data, and software supply chain domains.
- Deep cloud and Kubernetes experience; GCP/GKE strongly preferred.
- Strong understanding of application and systems architecture, APIs, authentication and authorization, distributed systems, networking, and trust boundaries.
- Strong software engineering and automation skills in Python and TypeScript, including APIs, SDKs, CLIs, and internal tooling.
- Deep Terraform/OpenTofu and Kubernetes experience, including reusable infrastructure patterns, GitOps, Helm, ArgoCD, RBAC, and workload security.
- Experience with threat modeling, security observability, and translating security or compliance requirements into practical technical controls.
- Platform mindset focused on abstractions, paved roads, automation, and self-service.
- Ability to use AI-assisted engineering tools while independently validating correctness, security, and operational impact.
- Ability to operate independently, consult effectively with engineering teams, communicate architectural tradeoffs, and influence senior technical peers.
Benefits
- People-first company culture emphasizing trust, ambition, quality, radical honesty, and compassionate leadership.
Skills
GCP, GKE, Kubernetes, Python, TypeScript, Terraform, Opentofu, GitOps, Helm, Argo CD, Crossplane, IAM, RBAC, Threat Modeling, Cve Detection
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