Senior DevOps / Infrastructure Engineer | AI & Scientific Computing

Location: Boston / Cambridge, Massachusetts, United States; hybrid with 3 days onsite

Salary: $200,000–$350,000 per year

Company

hirify.global is partnering with a well-funded AI research startup building infrastructure for scientific discovery through AI agents, simulation, and scientific verification.

What you will do

• Build CI/CD pipelines for automated testing and reliable releases.
• Manage cloud and GPU infrastructure using Infrastructure as Code.
• Deploy and operate Kubernetes across cloud providers.
• Own networking, DNS, recovery, and multi-account infrastructure.
• Build self-service tooling and automate operational workflows.
• Lead incident investigations and improve reliability, observability, and cloud cost efficiency.

Requirements

• 5+ years of experience building and operating production infrastructure.
• Strong Kubernetes experience and expertise in AWS, GCP, or Azure.
• Proven experience building CI/CD pipelines and Infrastructure as Code from scratch.
• Experience with multi-account cloud environments and networking.
• Strong incident management, troubleshooting, and automation skills.
• Ability to take independent ownership in a fast-moving environment.

Nice to have

• GPU infrastructure or AI/ML compute experience.
• Terraform, Pulumi, or similar tooling.
• FinOps, observability, and cloud cost optimization experience.
• Experience building internal developer platforms or self-service infrastructure.

Culture & Benefits

• Full-time hybrid role with 3 days onsite in Boston/Cambridge.
• Join an early-stage, well-funded AI research startup with approximately 27 people.
• Significant ownership and the opportunity to shape infrastructure for advanced AI research.
• The team includes backgrounds from NVIDIA, Google, MIT, Harvard, and Carnegie Mellon.