At MNTN, we put our people first, full stop. This allows our company culture to be defined by our team members and their shared values, like trust, ambition, quality, radical honesty, and compassionate leadership. It’s why we all really love working for the Hardest Working Software in Television™ (and also why we were named one of Ad Age’s Best Places To Work in 2026.)
We pride ourselves on bringing unrivaled performance and simplicity to Connected TV advertising. Our self-serve technology makes running TV ads as easy as search and social, helping brands drive measurable conversions, revenue, site visits, and more. It’s what led MNTN to being named one of Fast Company's Most Innovative Companies in 2023. You can learn more about us and everything we do by visiting https://mountain.com/.
We’re committed to innovation that empowers, not replaces. At MNTN, AI is a tool for growth, enhancing efficiency while keeping a people-first approach. Our goal is to streamline workflows and drive new solutions—without compromising the human element that makes our company great.
So if wanting to do more, own more, and make a bigger impact comes naturally to you, then you may be the person we're looking for to join us in our next stage of growth.
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.
What you’ll do- 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.
- Security is addressed through architecture and platform design, not one-off fixes.
- Secure defaults and self-service capabilities make strong security practices easy to adopt.
- Security risks and control failures are visible through automated monitoring and actionable alerting.
- Reusable controls and standards improve security consistently across teams and systems.
- Engineering teams trust you as an expert technical peer and involve you early in important design decisions.
- 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.
About MNTN
Our recruiters will always reach out using an email address ending with @mountain.com OR @mntn.com. If you’re contacted by someone without that address and they mention a Reference Code (which we never use), then that ain’t us folks. Tell those trolls to take a hike–you’re waiting to climb a MNTN.
MNTN provides advertising software for brands to reach their audience across Connected TV, web, and mobile. MNTN Performance TV has redefined what it means to advertise on television, transforming Connected TV into a direct-response, performance marketing channel. Our web retargeting has been leveraged by thousands of top brands for over a decade, driving billions of dollars in revenue.
Our solutions give advertisers total transparency and complete control over their campaigns all with the fastest go-live in the industry. As a result, thousands of top brands have partnered with MNTN, including Tarte, Decked, and National University.
#LI-Remote
Skills Required
- 5+ years in DevOps, SRE, or Platform Engineering with production experience in GCP and Kubernetes (GKE).
- Strong automation skills and programming/scripting in Python and TypeScript.
- Proven experience operating Kubernetes in production, including Helm, operators, Kustomize, networking, autoscaling, and RBAC.
- Experience building and managing CI/CD and GitOps pipelines (ArgoCD, Argo Rollouts, Argo Workflows, GitHub Actions).
- Deep expertise with Terraform / OpenTofu and infrastructure-as-code best practices; designing reusable modules and multi-environment deployments.
- Hands-on experience supporting hybrid or multi-cloud deployments; experience with additional cloud providers is a plus.
- Solid understanding of cost modeling, tagging strategies, and cloud cost optimization techniques.
- Familiarity with microservices architectures, service discovery, and containerization workflows.
- Platform mindset: built tools/abstractions or self-service capabilities to improve developer velocity and reliability.
- Implement cloud security and compliance best practices, including IAM design, workload identity, secrets management, and container security.
- Strong communication skills and clear documentation habits.
- Proficient in using AI tools to accelerate research and coding workflows and able to evaluate outputs responsibly.
- Terragrunt experience (listed as a plus).
- FinOps awareness (listed as a plus).
- Experience with additional cloud providers (listed as a plus).
What We Do
MNTN builds advertising software for brands to drive measurable conversions, revenue, site visits and more through the power of television. MNTN Performance TV is the world’s first and only Connected TV advertising platform optimized for direct-response marketing goals. It redefines what advertisers can do with television, giving them the power to tie performance directly to their TV campaigns.
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