10 days ago
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.
- Convert security requirements and recurring risks into secure defaults, reusable platform capabilities, policy-as-code, and automated enforcement.
- Build 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 using Kubernetes as the core platform abstraction.
- 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 Terraform, OpenTofu, Crossplane, Argo, APIs, SDKs, and code.
Requirements
- 5+ years of experience 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 experience is strongly preferred, with equivalent major-cloud experience considered.
- Strong understanding of application and systems architecture, APIs, authentication and authorization, distributed systems, networking, and trust boundaries.
- Strong Python and TypeScript software engineering and automation skills, including APIs, SDKs, CLIs, and internal tooling.
- Deep Terraform/OpenTofu and Kubernetes experience, including reusable infrastructure patterns, GitOps, Helm, Argo CD, RBAC, and workload security.
- Experience with threat modeling, security observability, and translating security or compliance requirements into practical technical controls.
- Ability to solve recurring problems with abstractions, paved roads, automation, and self-service instead of manual processes.
- Comfort using AI-assisted engineering tools while independently validating correctness, security, and operational impact.
- Ability to work independently, consult with engineering teams, communicate architectural tradeoffs, and influence senior technical peers.
Benefits
- Remote work is indicated by the #LI-Remote designation.
- MNTN emphasizes a people-first culture centered on trust, ambition, quality, radical honesty, and compassionate leadership.
Tech Stack
Categories
About MNTN
MNTN builds a self-serve Connected TV advertising platform that lets brands and agencies run performance-focused TV campaigns with attribution, retargeting, and prospecting. Its core product, Performance TV, ties conversions and revenue back to TV ad spend to support direct-response goals. Founded in 2018 and headquartered in Austin with a remote workforce, the company is privately held.