Sr. Software Engineer, Infrastructure

As a Sr. Software Engineer, Infrastructure at Anthropic, you'll be leading the build-out of large-scale AI clusters, consulting with stakeholders to understand infrastructure needs, and overseeing the development of high-scale systems. You'll also play a pivotal role in mentoring talent and designing operational processes that promote team effectiveness.

To be a good fit for the Sr. Software Engineer, Infrastructure role at Anthropic, you should have at least 8 years of industry experience, with 3 years in a lead role managing complex projects. Key technical skills include proficiency in programming languages like Python or Go, and a solid understanding of modern cloud infrastructure such as Kubernetes and AWS.

In the Sr. Software Engineer, Infrastructure position at Anthropic, you'll work with a variety of technologies. Depending on your team, this may include data solutions via Spark and Airflow, observability tools like Prometheus and Grafana, or managing Kubernetes clusters with GPU workloads, allowing for flexibility and specialization in your skill set.

Yes! At Anthropic, there is a strong focus on professional development. The Sr. Software Engineer, Infrastructure position allows you to lead important projects, mentor others, and take part in impactful AI initiatives. Your growth potential is encouraged and supported within our collaborative environment.

Absolutely! Anthropic is open to sponsoring visas for the Sr. Software Engineer, Infrastructure role, provided we can offer you a position. We strive to make reasonable efforts to help all strong candidates secure the necessary visa support.

In your response, focus on specific projects where you oversaw large-scale system builds. Discuss the challenges you faced, the technologies used, and how you ensured reliability and performance in your systems.

Highlight your mentoring philosophy and experience. Discuss practical examples of how you've provided guidance, shared knowledge, and fostered improvement among your peers, reflecting Anthropic's collaborative spirit.

Share a systematic approach to problem-solving. Mention any tools, frameworks, or analyses you rely on, and provide examples where this approach led to successful outcomes.

Discuss your understanding of security best practices and how you implement them. Give examples of past projects where you prioritized security measures while optimizing for performance.

Provide insights into specific projects you've worked on using these platforms. Emphasize your familiarity with services that support scalable infrastructure, including Kubernetes and data services.

Discuss observability's role in maintaining system health, improving performance, and debugging. Reference tools and techniques you've used to enhance observability in previous projects.

Frame your answer with the STAR (Situation, Task, Action, Result) method. Highlight your leadership role, the challenges faced, and how you motivated and guided the team to achieve success.

Reflect on your expertise in one or more languages, such as Python or Go. Provide concrete examples of how you’ve successfully applied these languages in system development or enhancements.

Share your methods for continuous learning—whether through online courses, reading industry publications, or attending conferences. Mention how you’ve applied new knowledge to your work.

Articulate a clear plan of action outlining your response steps. Discuss incident management, communication strategies, and postmortem analysis to prevent future failures.