Infrastructure Engineer

• Architect and maintain scalable, reliable infrastructure: Design and optimize infrastructure for high availability, fault tolerance, and performance across distributed systems.
• Lead incident management and root cause analysis: Own incident response processes, ensure swift resolution of issues, and drive post-incident improvements to prevent recurrences.
• Service monitoring and automation: Build and maintain automated monitoring, alerting, and healing systems that improve system health, reduce manual intervention, and minimize downtime.
• Performance tuning and capacity planning: Identify bottlenecks and optimization opportunities, and implement scaling strategies to handle traffic spikes and growing workloads efficiently.
• Collaborate with cross-functional teams: Work closely with software engineers, product teams, and DevOps to enhance system reliability and delivery pipelines.
• Improve operational processes: Champion continuous improvement initiatives in deployment, scaling, and performance testing, while advocating for the adoption of SRE best practices across the organization.
• Mentorship and leadership: Provide technical mentorship to junior engineers, contribute to strategic decisions around infrastructure, and ensure best practices are implemented at scale.
• Be proactive and innovative: we rely on your feedback to build a world-class product.
• Be a part of a team that believes in the core values of transparency, collaboration, grit, and humility; in going above and beyond what is required to do the right thing for our customers and the company; and in having fun while doing all this!

Senior Infrastructure Engineer

• Lead how NVIDIA responds to and adapts to growth and rapid change.
• Drive the organization’s program design and execution.
• Collect requirements, define priorities, coordinate scheduling, and address challenges throughout the implementation lifecycle.
• Optimize workflow using objective measures to improve engineering efficiency.
• Establish a Program Management charter based on accountability, outcomes, leadership, and delivery.
• Set and clearly define high standards and help the team achieve them.
• Hire, retain, and grow outstanding people.
• Drive high performance, clarity, positive culture, and collaboration.

Director, Infrastructure Engineering – Program Management

• 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

• Build, develop, deploy, optimize, and document backend infrastructure features.
• Collaborate with engineering and product teams across the stack
• Drive adoption and frictionless integration of the stack
• Ensure a high level of architectural quality, performance in the developed code and features
• Debugging and fixing deficiencies
• Support members of other teams / clients as they adopt the technology developed
• Support the technology on multiple hardware platforms
• Partnering and collaborating with peers and managers

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