Senior Infrastructure Engineer - AI Platform & Scale

mercor; San Francisco (CA); On-site; USD 180,000 - 280,000; Full time

Benefits offered by this job

Performance bonus

Equity grant

Relocation bonus

Housing stipend

Meals stipend

Equinox membership

Laundry reimbursement

Wellness reimbursement

Health insurance

Job summary

Mercor is hiring an Infrastructure Engineer in the San Francisco/New York area to design and scale systems that power rapid growth. You will build multi-tenant platforms, ensure high availability, and drive observability across production services.

The role focuses on designing scalable architectures, deploying tooling, and owning the reliability program. You will work with Python/Go, AWS, Terraform, PostgreSQL, MongoDB, and Kubernetes, and collaborate with product, research, and operations

Qualifications

• Focus on how you reason about systems over tool count.
• Experience operating production systems used by real users.
• Strong software engineering fundamentals with Python or Go.
• AWS cloud experience and Terraform IaC.
• Knowledge of containers and Kubernetes is a plus.

Responsibilities

• Design and build multi-tenant platforms with isolation and observability.
• Develop internal tools from deploy tooling to on-call automation.
• Scale multi-tenant services across model providers with quotas.
• Operate Temporal, PostgreSQL, MongoDB, and Kubernetes at scale.
• Define SLOs, reduce alerts, and improve incident handling.
• Create a developer platform for a fast-shipping engineering org.
• Define network and identity boundaries across environments.

Skills

Reliability basics

Scalability understanding

Distributed systems

Production systems experience

Python or Go

AWS cloud

Terraform

CI/CD practices

On-call ownership

Tools

PostgreSQL

MongoDB

Temporal

Kubernetes

Job description

Mercor is hiring an Infrastructure Engineer in the San Francisco/New York area to design and scale systems that power rapid growth. You will build multi-tenant platforms, ensure high availability, and drive observability across production services.

The role focuses on designing scalable architectures, deploying tooling, and owning the reliability program. You will work with Python/Go, AWS, Terraform, PostgreSQL, MongoDB, and Kubernetes, and collaborate with product, research, and operations