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Anthropic

IT Systems - Integrations Engineer

🌎

San Francisco, CA

4h ago
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Job Description

Hybrid

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

We're looking for an IT Systems Integration Engineer to join our growing team. In this role, you will be a key member of a cross-functional project to build and maintain critical infrastructure that connects our various SaaS platforms and internal systems. You'll work closely with software engineers, IT, and security teams to deliver scalable solutions for user provisioning and access management.

Responsibilities

  • Drive cross-functional programs to design, implement, and maintain API integrations between Google Workspace and internal systems 
  • Manage projects to develop and enhance our Python-based provisioning system on GCP 
  • Coordinate management of infrastructure as code using Terraform 
  • Lead troubleshooting and resolution of integration issues across SaaS platforms 
  • Engage with security, IT, product, and other teams to gather requirements and ensure alignment

You may be a good fit if you

  • Have 5+ years of experience in IT systems engineering or software development
  • Have a track record of leading projects to successful completion
  • Are proficient in Python and comfortable working with REST APIs
  • Have experience with Google Cloud Platform and its services
  • Are familiar with infrastructure as code concepts and tools, particularly Terraform
  • Understand identity management and user provisioning concepts
  • Have experience with CI/CD pipelines and DevOps practices
  • Can effectively troubleshoot complex system integrations

Strong candidates may also have experience with

  • Experience with Google Workspace API and administration
  • Experience with container orchestration platforms like Kubernetes
  • Contributions to open-source projects or experience with public APIs
  • Experience with automated testing frameworks and practices

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

The expected salary range for this position is:

Annual Salary:
$215,000$260,000 USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

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.

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.

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