Staff+ Software Engineer, Product Sandboxing

Anthropic$405K — $485K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of backend or platform engineering experience with scalable distributed systems.
  • Strong foundations in service-oriented architectures, networking, and systems design.
  • Proficiency in Python, Go, Rust, or similar systems programming languages.
  • Experience with cloud infrastructure (GCP, AWS, Azure) and container orchestration (Kubernetes).
  • Demonstrated ability to independently own technical vision and execution from design through deployment.

Responsibilities

  • Scope and drive complex, multi-month projects independently.
  • Facilitate cross-organizational alignment in ambiguous problem areas.
  • Make architectural decisions influencing product scaling and development.
  • Collaborate directly with research teams to productize advanced capabilities.
  • Influence the platform relied upon by numerous companies and engineers daily.

Benefits

  • Visa sponsorship available for eligible candidates.
  • Encouragement to apply even if not meeting all qualifications.
  • Commitment to diversity and inclusion in the hiring process.
Full Job Description
About the role

We build and run the secure execution environment behind Claude's agentic capabilities. When Claude writes and runs code, browses the web, or uses a computer, that happens on infrastructure our team owns. We work at the intersection of systems engineering and security. The goal is to make untrusted code execution safe, fast, and reliable enough that product teams don't have to think about it. This is the layer between the model and the outside world, and it has to hold up at scale for every Anthropic product. We're hiring engineers who have experience building for containerized workloads and have a keen eye for building products used by millions of customers.
What you'll do

You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day.
You might be a good fit if you:
  • Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent distributed systems, cloud-native products, developer tools, or external developer facing products
  • Have strong fundamentals in service-oriented architectures, networking, and systems design, ideally having owned both the technical vision and execution of a foundational platform system end to end
  • Are proficient in Python, Go, Rust, or similar systems languages
  • Have experience with cloud infrastructure (GCP, AWS, or Azure), container orchestration (Kubernetes), and/or multi-cloud networking
  • Take full ownership of your work-from design through deployment and operations
  • Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in 0 to 1 and more mature team or company settings
  • Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to us

Deadline to apply: None. Applications will be reviewed on a rolling basis.

Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$405,000-$485,000 USD

Logistics

Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from [redacted].com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit anthropic.com/careers directly for confirmed position openings.

About Anthropic

Anthropic is an artificial intelligence research lab that focuses on developing AI systems that are safe, reliable, and trustworthy. The company was founded in 2019 by Dr. Yoshua Bengio, a leading AI researcher and winner of the Turing Award. Anthropic's research is focused on developing AI systems that can learn from small amounts of data, reason about complex systems, and interact with humans in a natural way. The company is based in New York City and has a team of experienced AI researchers and engineers.
Learn more about Anthropic
Size
50 employees
Industry
Founded
2019

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