Is the Infrastructure Engineer, Sandboxing role remote?

It's hybrid — Anthropic expects some on-site time in San Francisco, CA | New York City, NY | Seattle, WA.

What's the salary range?

Anthropic lists $300,000–$405,000 for this role.

How much experience is required?

At least 5 years of relevant experience for this Infrastructure Engineer, Sandboxing role.

Where is the role based?

Anthropic is hiring for this position in San Francisco, CA | New York City, NY | Seattle, WA.

What's the tech stack?

Joblaze extracted these technologies from the posting: AWS, GCS, Go, Rust, Python, GCP.

Does Anthropic sponsor work visas for this role?

Yes — the posting indicates visa sponsorship is available for the right candidate.

What seniority level is this role?

Anthropic targets senior candidates for this position.

Is this full-time or contract?

Full-time for this Infrastructure Engineer, Sandboxing role at Anthropic.

Infrastructure Engineer, Sandboxing at Anthropic

Joblaze summary

In the role of Infrastructure Engineer on the Sandboxing team at Anthropic, the individual will focus on designing and maintaining distributed systems that facilitate secure execution environments for AI research. Key skills include expertise in distributed systems, cloud platforms like GCP, and containerization technologies such as Docker and Kubernetes. This position is ideal for seasoned engineers with a strong operational background and a commitment to the ethical implications of AI. Anthropic emphasizes collaboration and impact, making it a fitting environment for those passionate about advancing trustworthy AI.

Joblaze insights

Listed about a month ago on Joblaze — tracked directly from Anthropic's career page.
Anthropic has 401 other open roles including Finance & Strategy, EMEA GTM (Dublin or London location), Director, Infrastructure Compute Procurement, Engineering Manager, Cybersecurity Products.
2358 active Python roles on Joblaze right now.
1250 active AWS roles on Joblaze right now.
1056 active Kubernetes roles on Joblaze right now.
Salary band is above the typical range for DevOps/SRE (median ~$160,000).

Quick facts

Is the Infrastructure Engineer, Sandboxing role remote?: It's hybrid — Anthropic expects some on-site time in San Francisco, CA | New York City, NY | Seattle, WA.
What's the salary range?: Anthropic lists $300,000–$405,000 for this role.
How much experience is required?: At least 5 years of relevant experience for this Infrastructure Engineer, Sandboxing role.
Where is the role based?: Anthropic is hiring for this position in San Francisco, CA | New York City, NY | Seattle, WA.
What's the tech stack?: Joblaze extracted these technologies from the posting: AWS, GCS, Go, Rust, Python, GCP.
Does Anthropic sponsor work visas for this role?: Yes — the posting indicates visa sponsorship is available for the right candidate.
What seniority level is this role?: Anthropic targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Infrastructure Engineer, Sandboxing role at Anthropic.

From the original posting

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

Anthropic is seeking an experienced Infrastructure Engineer to join our Sandboxing team within the Research organization. In this role, you'll build and scale the systems that enable researchers to safely execute and experiment with AI-generated code and interactions in isolated environments.

As our models become more capable, the infrastructure supporting secure execution environments becomes increasingly critical. You'll work on distributed systems that must operate reliably at significant scale while maintaining strong security boundaries. Your work will directly support Anthropic's mission to develop AI systems that are safe, beneficial, and trustworthy.

Responsibilities

Design, build, and operate distributed backend systems that power secure sandboxed execution environments
Scale infrastructure to meet growing research and product demands while maintaining reliability and performance
Implement and maintain serverless architectures and container orchestration systems
Collaborate with research teams to understand requirements and translate them into robust infrastructure solutions
Develop monitoring, alerting, and observability systems to ensure operational excellence
Participate in on-call rotations and incident response to maintain system reliability
Contribute to infrastructure automation and tooling that improves developer productivity
Partner with security teams to ensure sandboxing infrastructure maintains appropriate isolation guarantees

You may be a good fit if you

Have 5+ years of experience building and operating backend infrastructure at scale
Have deep expertise in distributed systems design and implementation
Have strong operational experience, including debugging complex production issues
Are proficient with cloud platforms, particularly GCP/GCS (experience with AWS or Azure is also valuable)
Have experience with containerization technologies (Docker, Kubernetes) and understand their security implications
Are comfortable working with infrastructure as code and modern DevOps practices
Have strong programming skills in languages such as Python, Go, or Rust
Are results-oriented with a bias towards flexibility and impact
Care about the societal impacts of your work and are motivated by Anthropic's mission

Strong candidates may also have experience with

Serverless architectures and functions-as-a-service platforms (Cloud Functions, Cloud Run, Lambda)
Designing and implementing secure multi-tenant systems
High-performance computing environments or ML infrastructure
Linux systems internals, including namespaces, cgroups, and seccomp
Network security and isolation techniques
Building systems that support research workflows and rapid iteration

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:

$300,000—$405,000 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 @anthropic.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.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.