[Remote] Senior DevOps Engineer
Note: The job is a remote job and is open to candidates in USA. MNTN provides advertising software and Connected TV performance marketing technology for brands. The Senior DevOps Engineer will improve the security posture of the MNTN platform through security architecture, automation, and platform engineering across applications, cloud infrastructure, Kubernetes, systems, and networks.
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, helping design secure systems before they ship
- Turn security requirements and recurring risks into secure defaults, reusable platform capabilities, policy-as-code, and automated enforcement. Build automated security monitoring and response, including CVE detection, prioritization, remediation, verification, alerting, and visibility into control failures
- Design and operate secure infrastructure primarily on Google Cloud and GKE, using Kubernetes as the core platform abstraction
- Implement and evolve controls for IAM/RBAC, workload identity, least privilege, secrets, environment isolation, network segmentation, container security, and software supply chain
- Build automation, infrastructure tooling, and CI/CD systems using GitOps, Terraform / OpenTofu, Crossplane, Argo, APIs, SDKs, and code
Skills
- 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
- Strong understanding of application and systems architecture, APIs, authentication/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
- A platform mindset: you solve recurring problems with abstractions, paved roads, automation, and self-service rather than manual processes
- Comfortable using AI-assisted engineering tools daily while independently validating correctness, security, and operational impact
- Able to operate independently, consult effectively with engineering teams, communicate architectural tradeoffs, and influence senior technical peers
- Deep cloud and Kubernetes experience; GCP/GKE strongly preferred, with equivalent major-cloud experience considered
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