
Building safe and reliable AI systems for everyone
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...
Anthropic offers comprehensive health, dental, and vision insurance for employees and their dependents, along with inclusive fertility benefits via Ca...
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...

Anthropic • San Francisco, CA | New York City, NY
Anthropic is hiring a Staff Software Engineer to enhance product development through foundational platform engineering. You'll work with technologies like Java and Python, focusing on developer productivity and infrastructure. This role requires significant experience in backend engineering.
You have extensive experience in backend engineering, ideally with a focus on platform development — you've built and maintained critical infrastructure that supports product teams and enhances developer productivity. Your expertise in languages like Java and Python allows you to architect solutions that are both scalable and efficient.
You understand the importance of CI/CD pipelines and have hands-on experience with tools like Docker and Kubernetes — you know how to streamline development workflows and eliminate friction points for engineering teams. Your collaborative nature means you thrive in environments where you can partner closely with product teams to understand their needs and deliver impactful solutions.
You are committed to building reliable and interpretable systems — you appreciate the nuances of working with AI technologies and are excited about contributing to a mission that prioritizes safety and benefit for users and society. You are adaptable and open to team placements that align with your interests and the organization's needs, ensuring that you can have the greatest impact.
Experience with cloud platforms such as AWS is a plus, as is familiarity with data processing frameworks. You may also have a background in optimizing developer tooling and environments, which will be beneficial in this role.
As a Staff Software Engineer at Anthropic, you will play a key role in the Product Foundations organization — your work will involve architecting and optimizing the development infrastructure that powers AI product development. You will be responsible for maintaining and enhancing core systems such as the sampling pipeline and rate limiting platform, ensuring they are robust and efficient.
You will collaborate with various product teams to understand their development workflows — your insights will help eliminate friction points and enhance overall productivity across the organization. By focusing on developer tooling and CI/CD processes, you will enable product engineers to work more effectively and deliver high-quality features faster.
Your contributions will have a multiplier effect, enhancing the productivity of the entire product organization — you will be instrumental in shaping the foundational primitives that support Anthropic's mission of creating beneficial AI systems. You will also have the opportunity to mentor junior engineers, sharing your knowledge and experience to help them grow in their careers.
Anthropic is committed to providing a supportive and flexible work environment — we offer competitive compensation and benefits, including optional equity donation matching and generous vacation and parental leave. You will have the opportunity to work in a lovely office space in San Francisco or New York City, collaborating with a diverse team of researchers, engineers, and policy experts.
We encourage you to apply even if your experience doesn't match every requirement — we value curiosity and a growth mindset. Join us in our mission to build reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society as a whole.
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