Anthropic
Staff+ Software Engineer - Databases
Anthropic, San Francisco, California, United States, 94199
About the role
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. We are building a rapidly growing team of researchers, engineers, policy experts, and business leaders to develop beneficial AI systems.
We’re looking for experienced engineers to build and scale the database infrastructure that powers both Claude’s product offerings and Anthropic’s research initiatives. As a Staff Software Engineer on the Infrastructure team, you will design and operate database systems that support millions of users and cutting‑edge AI research.
This is a unique opportunity to tackle database challenges at unprecedented scale: develop a database strategy, design systems that handle billions of API requests, create storage solutions that work seamlessly across GCP, AWS, and diverse deployment models, and build a reliable data layer that accelerates research experimentation.
Responsibilities
Set the technical direction for database solutions used across Product and Research.
Design and implement database solutions that scale to support millions of users across Claude’s product ecosystem.
Build and scale database systems through 100x+ growth while maintaining reliability and performance.
Architect data storage solutions that work seamlessly across GCP, AWS, first‑party deployments, third‑party deployments, and other environments.
Develop database infrastructure that serves both product and research workloads with differing performance characteristics.
Partner with product and research teams to understand data requirements and accelerate innovation.
Optimize database performance, reliability, and cost efficiency at massive scale.
Make critical build‑vs‑buy decisions for database technologies.
You might be a good fit if you
Have 8+ years of experience building and scaling database systems.
Possess deep expertise in distributed database architectures and OLTP systems at scale.
Successfully scaled databases through massive growth at high‑growth companies.
Balance the speed of a startup environment with the reliability needs of production systems.
Excel at technical leadership and cross‑functional collaboration.
Are passionate about building the data layer that enables next‑generation AI capabilities.
Strong candidates may also have
Deep expertise scaling PostgreSQL, MySQL, DynamoDB, or similar database systems.
Experience with Redis, Temporal, vector databases, or async job processing frameworks.
Experience building multi‑cloud or hybrid cloud database solutions.
Knowledge of database orchestration and automation at scale.
Background at companies known for database excellence.
Prior AI/ML infrastructure experience is not required. We value deep infrastructure/database expertise from any domain.
Compensation Expected base compensation:
$405,000 – $485,000 USD . The total compensation package for full‑time employees includes equity, benefits, and may include incentive compensation.
Logistics Education requirements:
Bachelor’s degree in a related field or equivalent experience.
Location‑based hybrid policy:
We expect all staff to be in one of our offices at least 25% of the time. Some roles may require more in‑office presence.
Visa sponsorship:
We sponsor visas, though we may not be able to sponsor every role. If we make you an offer, we will make every reasonable effort to obtain a visa.
We encourage you to apply even if you do not meet every single qualification. We understand that underrepresented groups often experience imposter syndrome, and we urge you not to exclude yourself prematurely.
How we’re different We believe the highest‑impact AI research requires big science. At Anthropic we work as a single cohesive team on a few large‑scale research efforts and value impact over smaller puzzles. We view AI research as an empirical science, and great communication skills are essential.
The easiest way to understand our research directions is to read our recent
research papers
on GPT‑3, Circuit‑Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a wonderful office space for collaboration.
AI Policy for Candidates:
Learn about our policy for using AI in our application process.
Equal Employment Opportunity As set forth in Anthropic’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
#J-18808-Ljbffr
We’re looking for experienced engineers to build and scale the database infrastructure that powers both Claude’s product offerings and Anthropic’s research initiatives. As a Staff Software Engineer on the Infrastructure team, you will design and operate database systems that support millions of users and cutting‑edge AI research.
This is a unique opportunity to tackle database challenges at unprecedented scale: develop a database strategy, design systems that handle billions of API requests, create storage solutions that work seamlessly across GCP, AWS, and diverse deployment models, and build a reliable data layer that accelerates research experimentation.
Responsibilities
Set the technical direction for database solutions used across Product and Research.
Design and implement database solutions that scale to support millions of users across Claude’s product ecosystem.
Build and scale database systems through 100x+ growth while maintaining reliability and performance.
Architect data storage solutions that work seamlessly across GCP, AWS, first‑party deployments, third‑party deployments, and other environments.
Develop database infrastructure that serves both product and research workloads with differing performance characteristics.
Partner with product and research teams to understand data requirements and accelerate innovation.
Optimize database performance, reliability, and cost efficiency at massive scale.
Make critical build‑vs‑buy decisions for database technologies.
You might be a good fit if you
Have 8+ years of experience building and scaling database systems.
Possess deep expertise in distributed database architectures and OLTP systems at scale.
Successfully scaled databases through massive growth at high‑growth companies.
Balance the speed of a startup environment with the reliability needs of production systems.
Excel at technical leadership and cross‑functional collaboration.
Are passionate about building the data layer that enables next‑generation AI capabilities.
Strong candidates may also have
Deep expertise scaling PostgreSQL, MySQL, DynamoDB, or similar database systems.
Experience with Redis, Temporal, vector databases, or async job processing frameworks.
Experience building multi‑cloud or hybrid cloud database solutions.
Knowledge of database orchestration and automation at scale.
Background at companies known for database excellence.
Prior AI/ML infrastructure experience is not required. We value deep infrastructure/database expertise from any domain.
Compensation Expected base compensation:
$405,000 – $485,000 USD . The total compensation package for full‑time employees includes equity, benefits, and may include incentive compensation.
Logistics Education requirements:
Bachelor’s degree in a related field or equivalent experience.
Location‑based hybrid policy:
We expect all staff to be in one of our offices at least 25% of the time. Some roles may require more in‑office presence.
Visa sponsorship:
We sponsor visas, though we may not be able to sponsor every role. If we make you an offer, we will make every reasonable effort to obtain a visa.
We encourage you to apply even if you do not meet every single qualification. We understand that underrepresented groups often experience imposter syndrome, and we urge you not to exclude yourself prematurely.
How we’re different We believe the highest‑impact AI research requires big science. At Anthropic we work as a single cohesive team on a few large‑scale research efforts and value impact over smaller puzzles. We view AI research as an empirical science, and great communication skills are essential.
The easiest way to understand our research directions is to read our recent
research papers
on GPT‑3, Circuit‑Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a wonderful office space for collaboration.
AI Policy for Candidates:
Learn about our policy for using AI in our application process.
Equal Employment Opportunity As set forth in Anthropic’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
#J-18808-Ljbffr