
About Anthropic
Building safe and reliable AI systems for everyone
Key Highlights
- Headquartered in SoMa, San Francisco, CA
- Raised $29.3 billion in funding, including $13 billion Series F
- Over 1,000 employees focused on AI safety and research
- Launched Claude, an AI chat assistant rivaling ChatGPT
Anthropic, headquartered in SoMa, San Francisco, is an AI safety and research company focused on developing reliable, interpretable, and steerable AI systems. With over 1,000 employees and backed by Google, Anthropic has raised $29.3 billion in funding, including a monumental Series F round of $13 b...
🎁 Benefits
Anthropic offers comprehensive health, dental, and vision insurance for employees and their dependents, along with inclusive fertility benefits via Ca...
🌟 Culture
Anthropic's culture is rooted in AI safety and reliability, with a focus on producing less harmful outputs compared to existing AI systems. The compan...
Overview
Anthropic is hiring a Staff Engineer for their Data Infrastructure team to design and implement secure data systems. You'll work with AWS, Docker, and Python to ensure data processing and storage are efficient and reliable. This position requires significant experience in data infrastructure and security.
Job Description
Who you are
You have 5+ years of experience in software engineering, particularly in data infrastructure and security — you've designed and implemented robust systems that prioritize data privacy and compliance. Your expertise in cloud technologies, especially AWS, allows you to build scalable and secure data solutions that meet business needs.
You are proficient in Python and SQL, enabling you to create efficient data pipelines and manage large datasets effectively — your experience with Docker helps you streamline development and deployment processes. You thrive in collaborative environments, working closely with data scientists and analysts to ensure that data systems are user-friendly and reliable.
You possess strong problem-solving skills and a keen understanding of data governance and access control — you have successfully implemented IAM policies and security controls that scale across diverse user bases. Your ability to communicate complex technical concepts to non-technical stakeholders makes you an asset in cross-functional teams.
Desirable
Experience with data governance frameworks and compliance requirements is a plus — familiarity with audit logging and permission management will enhance your contributions to the team. Knowledge of additional cloud platforms or data processing tools will be beneficial as you tackle diverse challenges in this role.
What you'll do
As a Staff Engineer in the Data Infrastructure team, you will design and implement secure access control systems that ensure only authorized users can access sensitive data — your work will involve building infrastructure for permission management and compliance requirements. You will also be responsible for developing data pipelines and warehouses that support business-critical reporting, ensuring that data is processed quickly and accurately.
You will collaborate with data scientists and analysts to understand their needs and translate them into technical solutions — your role will require you to dive deep into cloud infrastructure primitives, ensuring that the systems you build are both reliable and efficient. You will tackle challenges such as architecting access control systems and ensuring cloud storage reliability, contributing to the overall mission of Anthropic to create beneficial AI systems.
What we offer
Anthropic provides competitive compensation and benefits, including optional equity donation matching and generous vacation and parental leave — we value work-life balance and offer flexible working hours to accommodate your needs. Our office in San Francisco is designed for collaboration, providing a lovely space for you to work with colleagues who are equally committed to building safe and beneficial AI systems.
We encourage you to apply even if your experience doesn't match every requirement — we believe that diverse teams build better products and welcome candidates from various backgrounds to contribute to our mission.
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