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 of experience in a Software Engineer role, building and scaling database systems

• Have 3+ years 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.

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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 of experience in a Software Engineer role, building and scaling database systems
• Have 3+ years 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.

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.

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As an engineer on the storage team, you will have the opportunity to influence the strategy of the team and design, deploy, and scale the online storage platform at Plaid. You will build services and tools to improve operation automations. You will optimize query performance and infrastructure cost. You will wield terraform and cloud resources with confidence and certainty. You will partner with our stakeholder teams to understand their current storage and future storage requirements. You will improve the user experience that partner teams have interacting with the storage platform.

Responsibilities

• Build and scale systems to support large datasets and high-throughput workloads with strong performance and reliability guarantees
• Design and evolve resilient, distributed storage systems that operate reliably
• Navigate ambiguity and drive clarity across complex storage and infrastructure challenges
• Diagnose and resolve deeply technical issues within storage engines, including analyzing internal behavior and, when necessary, diving into source code
• Lead careful, reliability-focused migrations that minimize risk and ensure seamless transitions for dependent systems
• Build foundational storage capabilities that significantly reduce friction for product engineers, enabling teams to move faster and more confidently

Qualifications

• Strong software engineering experience with deep focus on backend and/or platform systems
• Deep expertise in storage technologies
• Experience deploying and orchestrating databases at scale
• Strong background in database performance optimization, preferably with SQL databases
• Experience designing and evolving storage platforms
• Infrastructure experience with tools such as Terraform and AWS
• Hands-on experience with databases such as TiDB, MySQL, or MongoDB
• Experience building internal tooling and automation to improve reliability and developer efficiency

Nice to Have

• Demonstrated curiosity about evolving storage technologies and performance optimization techniques
• Production experience with Go and TypeScript
• Experience applying security best practices in storage or infrastructure systems

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