Infrastructure Software Engineer

About Mercor

Mercor’s mission is to organize human intelligence for the AI economy. We build the infrastructure that enables frontier AI labs and enterprises to train, evaluate, and improve AI on real-world professional work. More than five million experts have joined our network, and we pay out over $5 million daily for their knowledge and expertise.

We built our training and evaluation infrastructure alongside the world’s leading AI labs. Now, we’re bringing those capabilities to enterprises across industries, enabling them to train, evaluate, and improve AI using their own expertise and standards. Our APEX benchmarks measure how AI performs on economically valuable work, while our enterprise evaluations and post-training capabilities turn those insights into measurable improvements across real-world workflows.

Our work sits at the intersection of frontier AI, human expertise, and real-world application. We’re solving problems few companies have encountered, with the opportunity to influence what the world’s most advanced AI systems become capable of doing. We’re looking for people who bring different perspectives, take ownership, exercise sound judgment, and hold themselves to an exceptionally high standard. You’ll have the opportunity to do consequential work alongside talented colleagues who challenge one another, collaborate openly, and share a commitment to excellence.

Mercor is profitable and recently raised a $750 million Series D at a $20 billion valuation. We work in person five days a week in San Francisco, New York, and London.

About the Role

As an Infrastructure Engineer at Mercor, you’ll build and scale the systems that power our rapid growth. You’ll ensure our infrastructure is highly available, cost-effective, and able to handle explosive traffic and compute demands. You’ll work closely with engineers across product, research, and operations to design scalable architectures, streamline deployments, and improve observability.

This is a software engineering role. You'll spend most of your time designing and writing the services, platforms, and tooling that the rest of engineering builds on, and the rest making sure they hold up in production.

We're hiring across Infrastructure: Platform, Developer Productivity, Production Engineering, Storage and Databases. We team-match after the first screen, so apply even if your background leans toward one area.

What You'll Work On

• Design and build the platforms that sit between our engineers and the outside world: multi-tenant services that give dozens of teams isolated capacity, routing, quotas, and observability on demand, owned from architecture review through production.

• Build the internal platforms and solutions that product and research engineers rely on every day, from deploy tooling to on-call automation, and treat them with the same design and testing rigor as customer-facing code.

• Scale our multi-tenant services that fronts every model provider we use, so dozens of internal teams and products get isolated quotas, routing, observability, and capacity on demand without filing a ticket.

• Run Temporal, Postgres, MongoDB, and our Kubernetes fleet at a scale where "it worked last month" isn't a guarantee, and design for the next 10x.

• Own the reliability program: define SLOs that matter, kill noisy alerts, make CI/CD deploys boring, and turn every incident into a durable fix rather than a runbook entry.

• Build the developer platform for an engineering org that ships dozens of times a day, and where coding agents are now first-class users of our CI, sandboxes, and deploy pipelines.

• Design network and identity boundaries across production, preprod, and research compute so teams move fast without cross-environment risk.

• Make the cost picture legible: attribute spend across data centers, and inference providers, and find the architectural changes that bend the curve.

• Build the tooling that lets the rest of engineering self-serve: our on-call is already AI-triaged and auto-assigned; you'll decide what gets automated next.

What We're Looking For

• Bachelor’s Degree in Computer Science or a related technical degree such as Electrical Engineering, Physics, Mathematics, Computer Engineering, Information Systems or Statistics

• 2+ years of relevant industry experience

• We care far more about how you reason about systems than which tools you've used. Strong candidates typically have:

• A deep grasp of reliability and scalability fundamentals: failure modes, backpressure, idempotency, capacity planning, and how distributed systems actually break under load.

• Experience operating production systems that real users depend on, and the scars to prove it.

• Strong software engineering fundamentals: you design systems before you build them, write code you're proud of in Python or Go, test it, and review others' code with care. Most of your recent work has been shipping software, not clicking through consoles.

• Familiarity with cloud infrastructure (we're on AWS) and infrastructure-as-code (we use Terraform). You don't need to be an expert; you need to be curious and fast to pick it up.

• Working knowledge of containers and how they're deployed. Kubernetes experience is a plus, not a gate.

• High ownership: you see a gap, you write the proposal, you ship it, you carry the pager for it.

You Might Be a Great Fit If

• You're a backend engineer with strong infra fundamentals who keeps getting pulled toward the platform layer because that's where the hardest problems are.

• You've been the person who understood why the system fell over when nobody else did.

• You've built internal platforms or tooling that other engineers loved using.

• You've operated databases, message queues, or workflow engines at meaningful scale.

• You've come from backend or DevOps and want to own infrastructure end to end.

How We Work

• Small, senior team with direct access to the head of infra and to engineering leadership.

• In-person five days a week in SF. Infra is a team sport for us.

• We use AI coding agents heavily and expect you to as well; the interesting work is deciding what they should do, not typing.

• Weekly on-call rotation with structured handoffs; on-call load is a metric we actively drive down.

Benefits

• Bi-annual performance bonus structure

• Generous equity grant vested over 4 years

• Up to $15k Relocation bonus

• $10K housing bonus (if you live within 0.5 miles of our office)

• $1.5K monthly stipend for meals

• Free Equinox membership

• $200 monthly laundry reimbursement

• $200 monthly personal wellness reimbursement

• Health, Dental, Vision insurance

Mercor is an Equal Opportunity Employer and is committed to providing equal opportunity to all employees and applicants. Mercor does not discriminate based on actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, disability, protected medical condition as defined by California or local law, genetic information, or any other characteristic protected by applicable federal, California, or local laws and ordinances. Further, Mercor prohibits discrimination, harassment, and retaliation based on any combination of protected characteristics. This Policy applies to all areas of employment, including recruitment, hiring, training, promotion, compensation, benefits, discipline, termination, and all other privileges, terms, and conditions of employment. This Policy and the law prohibit employment discrimination against any employee or applicant based on any legally protected status.