Infrastructure Engineer

• 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

Infrastructure Engineer – AI Platform

• The Infrastructure Engineer will work on cross functional teams to build scalable infrastructure for our government -- designing, implementing, and delivering services that millions of Americans depend on.
• As a Senior Infrastructure Engineer, you may be responsible for technical leadership of platform infrastructure projects supporting dev teams and large-scale systems with a strong focus on automation, organization, and communication.
• Your work enables application development teams to run effectively in the cloud to deliver users a modern experience.
• You will be responsible for delivering on client requirements as well as providing long-term oversight and vision to help shape future work.
• Your strong cross-functional communication skills will complement your technical leadership skills to provide the highest value for government systems.

Infrastructure Engineer – Mid/Sr

• Develops and implements roadmaps, resourcing, project scheduling and oversight, and process improvements for team and function
• Identifies gaps and sets technical strategy for the team
• Participates in cross-functional initiatives and leadership meetings
• Drives the evolution of engineering standards and practices across the department
• Provides technical guidance and mentoring to engineers, identifying individual growth needs for engineers
• Accomplish results through professional employees by setting project timelines, priorities based on project objectives, and oversight of ongoing assignments.
• Attract, select, and retain high-level talent through active participation in performance management and professional development of team members.
• Leverage AI tools and techniques to enhance software development activities, including code generation, testing, debugging, and optimization.
• Apply AI insights to identify patterns, automate repetitive tasks, and improve overall development efficiency and product quality.
• Maintain awareness of emerging AI trends and best practices to inform continuous learning and innovation.

Manager – Cloud Infrastructure Engineering

• Build and maintain scalable, high-performance data infrastructure designed to support both batch and real-time use cases for a wide variety of global stakeholders
• Design and implement architectural solutions that drastically reduce friction in data access across the organization.
• Collaborate cross-functionally with Engineering, Data, and Product teams to align the platform with diverse technical requirements.
• Understand and integrate best security practices to ensure access compliance across all data assets
• Troubleshoot and resolve complex issues in distributed data systems to ensure total data integrity.
• Architect and implement AI-driven diagnostic systems to autonomously identify, analyze, and resolve complex issues impacting data availability and platform health.

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Infrastructure Engineer – AI Platform

Infrastructure Engineer – Mid/Sr

Manager – Cloud Infrastructure Engineering

Staff Data Infrastructure Engineer