Infrastructure Engineer

Title of Role: Infrastructure Engineer
Location: San Francisco, CA  + New York, New York (On-site)
Company Stage of Funding: Hyper-Growth, Highly Profitable Private Company
Office Type: On-site, Full-Time
Salary: Competitive (based on experience) + Equity

We’re representing one of the fastest-growing companies in the world, scaling from $1M to $500M in revenue run rate in just 17 months — with accelerating growth rates month over month. The company builds AI-powered models that evaluate candidate performance potential better than human recruiters. Their technology is already trusted by the top 5 global AI labs, and the team remains lean, profitable, and fast-moving.

As an Infrastructure Engineer, you’ll build and scale the core systems that support rapid growth, ensuring high availability, cost efficiency, and performance. You will:

• Design and maintain infrastructure across cloud environments.

• Build Infrastructure-as-Code workflows to automate deployments and scaling.

• Improve monitoring, logging, and alerting systems to ensure system reliability.

• Manage CI/CD pipelines (e.g., GitHub, Spacelift) for seamless deployments.

• Support disaster recovery planning and high availability strategies.

• Collaborate with product and research teams to design architectures that scale with workload demands.

• Identify and resolve performance bottlenecks across compute, storage, and networking.

• Strong experience with cloud platforms (AWS preferred).

• Proficiency with Infrastructure-as-Code tools (Terraform).

• Deep experience with containers and orchestration (Docker, Kubernetes).

• Solid understanding of distributed architectures.

• Programming experience with Python or Go.

• Proven ability to ship and maintain reliable infrastructure in production environments.

• Growth mindset and eagerness to thrive in a hyper-growth, high-ownership environment.

• Impact: Your work directly supports the infrastructure powering the world’s leading AI labs.

• Learning: Gain early insights into frontier model capabilities months before they reach the market.

• Growth: Work on both infrastructure and research-adjacent projects with rapid paths to ownership.

• Salary: Highly competitive (commensurate with experience)

• Equity: Generous early-stage equity package

• Work Setup: On-site in San Francisco

• Other Benefits:

  • Direct ownership of mission-critical infrastructure

  • High-growth engineering culture with immediate impact

  • Opportunity to work closely with product and research teams at the forefront of AI

This role is ideal for engineers with strong infrastructure expertise who thrive on building scalable systems, love solving bottlenecks, and want to shape the foundation of a hyper-growth AI company.