About the job
About Mercor
Mercor operates at the cutting edge of labor markets and artificial intelligence research. Collaborating with top AI laboratories and corporations, we supply the essential human intelligence that drives AI advancement.
Our extensive talent network educates state-of-the-art AI models much like teachers impart knowledge to students: by sharing insights, experiences, and contextual understanding that cannot be encoded. Currently, over 30,000 experts in our network generate more than $2 million daily.
At Mercor, we are pioneering a new realm of work where expertise fuels AI progress. Achieving this ambitious vision demands a dynamic, fast-paced, and deeply dedicated team. Here, you will collaborate with researchers, operators, and AI firms at the forefront of transforming societal systems.
As a profitable Series C company with a valuation of $10 billion, Mercor operates five days a week from our new headquarters in San Francisco.
About the Role
In your role as an Infrastructure Engineer at Mercor, you will be instrumental in constructing and scaling the systems that support our rapid expansion. You will ensure that our infrastructure is highly reliable, cost-efficient, and capable of accommodating surges in traffic and computational demands. Your collaboration with product, research, and operations engineers will be vital in designing scalable architectures, optimizing deployments, and enhancing observability.
We are broadening our search across Infrastructure roles, including Developer Productivity Engineer, Database Engineer, and Platform Engineer. Candidates will be matched to teams after the initial screening, so we encourage applications even if your expertise is predominantly in one area.
What You'll Work On
Designing and maintaining core infrastructure across cloud environments.
Creating Infrastructure-as-Code workflows to automate deployments and scaling.
Enhancing monitoring, logging, and alerting systems to ensure reliability.
Managing CI/CD pipelines (Github, Spacelift) for seamless deployments.
Assisting in disaster recovery planning and ensuring system availability.
Collaborating with product and research teams to design architectures that meet workload demands.
Identifying and resolving performance bottlenecks in compute, storage, and networking.
