Infrastructure Engineer – AI Platform

OpenVPN Inc.

Infrastructure Engineer managing tools for AI development and workflows at OpenVPN. Defining architectural standards and governance frameworks for AI tooling and applications.

Posted 5/21/2026full-timeRemote • Arizona, California, Colorado, Florida, Maryland, Minnesota, Missouri, Nevada, New Jersey, New York, Ohio, Oregon, Texas, Utah, Virginia, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $140,000 - $150,000 per yearWebsite

Tech Stack

Tools & technologies

AzureGoogle Cloud PlatformTerraform

About the role

Key responsibilities & impact

Own the rollout and operational management of AI-assisted development tools across engineering (e.g., Cursor, Copilot, Claude Code)
Define and implement access controls, license management, and usage policies that satisfy SOC2/ISO 27001 requirements
Build cost tracking and reporting so leadership has visibility into AI tool spend and usage patterns across the org
Reduce friction for engineers adopting these tools while maintaining security and auditability
Partner with teams across the org to identify, build, and support internal AI applications such as RAG pipelines, agents, and automation workflows
Evaluate and recommend tooling, frameworks, and patterns based on what teams actually need
Define where IaaS’s responsibility ends and consuming teams’ begins – this boundary doesn’t exist yet; you’ll help draw it
Advise on data governance policies for LLM usage, including what data can go into which models, where outputs are stored, and how audit trails are maintained
Ensure AI infrastructure and tooling meets existing SOC2 and ISO 27001 controls and can be evidenced in audits
Provide leadership with clear, regular reporting on AI adoption, cost, risk, and usage across the org
Stand up and manage AI/ML infrastructure, primarily on GCP (Vertex AI) within OpenVPN’s existing environment
Design the Terraform modules and IaC patterns for AI infrastructure that follow the team’s existing conventions (e.g., Atlantis-driven GitOps workflows)
Build visibility into AI/ML infrastructure costs and implement controls (spot instances, auto-scaling policies, idle resource cleanup) consistent with how compute costs are managed elsewhere
Evaluate build-vs-buy decisions for AI/ML infrastructure components and managed services with an eye toward operational fit within existing patterns

Requirements

What you’ll need

Hands-on experience standing up and managing AI/ML infrastructure such as Vertex AI, or comparable platforms (SageMaker, Azure ML)
Has set up AI developer tooling (Cursor, Copilot, etc.) at an org level, including managing rollout, access, and cost
Infrastructure-as-code fluency: Terraform is our primary tool, managed through Atlantis. You should be able to write modules that other teams consume through self-service
Ability to work across teams and define boundaries for a new capability area that doesn’t have established patterns yet
Can communicate clearly with leadership about cost, risk, and value of AI investments

Benefits

Comp & perks

Competitive compensation that reflects your skills and contributions
Generous time off opportunities to recharge and enjoy life outside of work
Flexible scheduling to support work‑life balance
Fully remote work environment — work from anywhere you’re most productive
Global collaboration with talented colleagues in Silicon Valley and around the world

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI-assisted development toolsAI/ML infrastructureTerraformIaaScost trackingdata governanceaudit trailsbuild-vs-buy decisionsautomation workflowsaccess controls

Soft Skills

communicationcollaborationleadershipproblem-solvingorganizational skills

Certifications

SOC2ISO 27001