AI Platform Engineer, Infrastructure

• Design and scale Kubernetes- and Terraform-based infrastructure across customer environments.
• Define standards for networking, security, CI/CD, and multi-region deployments.
• Build and maintain metrics, logging, tracing, dashboards, and SLOs.
• Diagnose and improve performance across distributed systems and AI workloads.
• Support high-performance inference, data pipelines, and large-scale backend services.
• Ensure systems scale reliably under fast-growing and unpredictable workloads.
• Partner with technical leaders on architecture and mentor engineers.

Artificial Intelligence (AI), Operating Systems, Artificial Intelligence (AI), Financial Services, Government, Insurance, Healthcare, Metrics, Reporting Dashboards, Performance Management, * Have 5+ years building large-scale backend or infra systems.

• Know Kubernetes, Terraform, cloud networking, orchestration, and observability tools.
• Bring strong distributed systems, performance, and incident-response experience
• Work well with customers and teams to deliver reliable solutions.
• Thrive in high-agency environments and set engineering standards.
• Enjoy ambiguity, autonomy, and solving tough infra problems.

• Ship quickly, iterate constantly and see your work deployed at global scale
• Collaborate with industry veterans from Tesla, DeepMind, Databricks, and more
• Accelerate your career with ownership based on impact, not tenure
• Earn competitive compensation+ meaningful equity in a high-growth company
• Thrive in a culture built on speed, curiosity, and impact, * Competitive salary plus equity
• Daily lunches
• Commuter benefits
• 401(k)
• Medical, Dental and Vision
• Unlimited PTO

Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services.

Joining now means shaping both the company and a new category of applied AI. Every project here ships to production and is expected to create measurable customer value and impact.

You’ll work alongside exceptional peers on some of the hardest problems in applied AI. It’s the kind of work you’ll still be proud of in ten years from now.