CPT Database Engineer Jobs
Database Engineer CPT jobs let F-1 students apply relational modeling, query optimization, and data pipeline work directly in industry. Your DSO must authorize CPT before your start date, and the role must connect to your enrolled program. Part-time CPT (under 20 hours weekly) keeps your full-time OPT eligibility intact after graduation.
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Get Access To All JobsAbout Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About The Role
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 Software Engineer on the Databases team, you will architect and operate database systems that both enable millions of users to interact with Claude and support cutting-edge AI research. This is a unique opportunity to tackle database challenges at unprecedented scale. You'll develop the database strategy for Anthropic, design systems that handle billions of API requests, create storage solutions that work seamlessly across GCP, AWS, and diverse deployment models, and build the reliable data layer that accelerates research experimentation.
Responsibilities
- Drive 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 different performance characteristics
- Partner with product and research teams to understand data requirements and build infrastructure that accelerates 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 10+ years (not including internships or co-ops) of experience in a Software Engineer role, building and scaling database systems
- Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead
- Possess deep expertise in distributed database architectures and OLTP systems at scale
- Have successfully scaled databases through massive growth at high-growth companies
- Can 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
Note: Prior AI/ML infrastructure experience is not required. We value deep infrastructure/databases expertise from any domain.
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary
$320,000—$485,000 USD
Logistics
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How We're Different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: 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 lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About The Role
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 Software Engineer on the Databases team, you will architect and operate database systems that both enable millions of users to interact with Claude and support cutting-edge AI research. This is a unique opportunity to tackle database challenges at unprecedented scale. You'll develop the database strategy for Anthropic, design systems that handle billions of API requests, create storage solutions that work seamlessly across GCP, AWS, and diverse deployment models, and build the reliable data layer that accelerates research experimentation.
Responsibilities
- Drive 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 different performance characteristics
- Partner with product and research teams to understand data requirements and build infrastructure that accelerates 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 10+ years (not including internships or co-ops) of experience in a Software Engineer role, building and scaling database systems
- Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead
- Possess deep expertise in distributed database architectures and OLTP systems at scale
- Have successfully scaled databases through massive growth at high-growth companies
- Can 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
Note: Prior AI/ML infrastructure experience is not required. We value deep infrastructure/databases expertise from any domain.
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary
$320,000—$485,000 USD
Logistics
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How We're Different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: 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 lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
See all CPT Database Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new CPT Database Engineer Jobs.
Get Access To All JobsDatabase Engineer CPT: Frequently Asked Questions
Does a Database Engineer role qualify for CPT authorization?
Yes, if the work is an integral part of your enrolled curriculum. Database engineering tasks like schema design, query optimization, data warehousing, and ETL pipeline development align with computer science, information systems, and data engineering programs. Your DSO makes the final determination based on your specific program requirements and the job description you provide.
Can I work as a Database Engineer on part-time CPT without losing OPT eligibility?
Yes. Part-time CPT is defined as fewer than 20 hours per week, and any amount of part-time CPT does not affect your OPT eligibility after graduation. Only 12 or more months of full-time CPT eliminates your OPT eligibility. If you're weighing both options, structuring your database engineering role as part-time CPT preserves your post-graduation authorization window.
What documents does a Database Engineer CPT applicant need to provide the DSO?
You'll need a signed offer letter or internship agreement that specifies the employer name, role title, start and end dates, and weekly hours. Most DSOs also require a written explanation of how the database engineering work connects to your current courses. Some schools additionally ask for a letter from the employer describing the technical responsibilities.
How do I find Database Engineer employers who understand CPT authorization?
Search Migrate Mate to identify employers with a history of sponsoring work-authorized roles in database engineering and related technical fields. Companies that have filed Labor Condition Applications for database or data infrastructure roles are already familiar with work-authorization processes, which typically means smoother onboarding when you present your CPT documentation.
Does completing a CPT Database Engineer role help with future H-1B sponsorship?
It can. A CPT role in database engineering builds documented U.S. work experience under your field's relevant SOC codes, which strengthens an eventual H-1B visa petition by demonstrating specialty occupation qualification. Employers who hire you on CPT and are satisfied with your work have a practical incentive to sponsor your H-1B once you're on OPT, since they've already invested in training you.