Senior DevOps Engineer

MNTNAustin, TX
Remote

About The Position

This is a senior, hands-on security engineering role focused on continuously improving the security posture of the MNTN platform through architecture, automation, and platform engineering. You'll work as a technical peer across DevOps and Engineering, with scope spanning application, cloud, Kubernetes, systems, and network architecture. You'll combine hands-on work with individual teams and internal consulting to shape secure designs, solve complex problems, and turn recurring risks and requirements into secure defaults, reusable controls, self-service platform capabilities, and automated security observability. The goal is to make strong security practices consistent, measurable, and easy to adopt across Engineering. This is not a GRC or audit role. Your impact comes from deep technical judgment, effective collaboration, and making good security decisions repeatable across the organization.

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.
  • Deep cloud and Kubernetes experience; GCP/GKE strongly preferred, with equivalent major-cloud experience considered.
  • 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.

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.
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