Staff Software Engineer, Infrastructure

As a Staff Software Engineer, Infrastructure at Anthropic, you'll lead the build-out of state-of-the-art AI clusters, partner closely with cloud service providers, and set the technical strategy for high-scale, reliable infrastructure systems. Mentoring engineers, designing processes for operational effectiveness, and consulting with stakeholders to align on infrastructure needs will also be key aspects of your role.

To qualify for the Staff Software Engineer, Infrastructure role at Anthropic, candidates should have at least 10 years of relevant industry experience, with a minimum of 3 years leading complex projects or teams. Proficiency in programming languages such as Python, Rust, or Java, and a strong background in distributed systems and modern cloud infrastructure are essential.

In your role as a Staff Software Engineer, Infrastructure at Anthropic, you'll work with an array of cutting-edge technologies, including Kubernetes for orchestrating complex workloads, tools for data pipelines like Apache Spark and Airflow, and cloud services such as AWS and GCP to ensure our infrastructure meets the demands of innovation.

Yes! Anthropic highly values mentorship, particularly for Staff Software Engineers in the Infrastructure team. You'll have the chance to mentor other technical talent, sharing your expertise while also continuing to grow your own skills by working closely with some of the brightest minds in AI and engineering.

Anthropic fosters a collaborative work culture that emphasizes open communication and teamwork. Employees engage in frequent research discussions and cross-functional collaborations, focusing on impactful projects and the collective pursuit of advancing trustworthy AI systems that benefit society.

Express your enthusiasm for cutting-edge technology, the chance to innovate in AI infrastructure, and the impact that reliable systems can have on advancing AI research. Mention how Anthropic's mission aligns with your professional values and interests.

Discuss specific projects where you've utilized Kubernetes, emphasizing how you managed clusters efficiently and solved challenges related to scalability and reliability. Highlight any metrics or success stories that illustrate your accomplishments.

Explain your mentorship philosophy, focusing on providing guidance, encouraging autonomy, and sharing your knowledge through collaborative projects. Provide examples of mentoring relationships that were successful and how they benefited team dynamics.

Share your systematic approach to diagnosing problems and include examples of specific issues you've resolved in past roles. Discuss the tools you utilize for observability and monitoring to stay ahead of potential challenges.

Discuss the importance of stakeholder communication, setting clear expectations, and assessing urgency versus impact. Highlight your decision-making process and how you balance short-term needs with long-term infrastructure goals.

Provide a detailed account of a specific project where you implemented data governance frameworks or policies, including the challenges you faced and how you overcame them while ensuring compliance and optimal data usage.

Express your proficiency in a primary programming language, detailing projects that showcase your skills. Discuss any additional languages you are familiar with and how they enhance your flexibility as an engineer.

Share your insights on emerging trends in AI infrastructure, such as advancements in cloud technologies, machine learning operations, or security best practices. Explain how you see these trends influencing infrastructure engineering at a company like Anthropic.

Discuss your commitment to continuous learning and improvement, utilizing metrics to gauge performance, and gathering feedback from team members. Provide examples of how you've implemented process changes based on evaluation and feedback.

Articulate your understanding of Anthropic’s mission to create safe and beneficial AI systems, and connect it to your own passion for responsible technology development. Highlight your desire to contribute to this vision as a Staff Software Engineer, Infrastructure.