---
title: 'IT Specialist at Anyscale'
canonical: 'https://feeny.ai/job/it-specialist-anyscale-san-francisco-r91z0szj92w0'
type: 'job'
last_seen: '2026-09-09'
---

# IT Specialist at Anyscale

- **Company:** Anyscale
- **Location:** San Francisco, CA
- **Compensation:** $171k–$191k
- **Employment:** full-time
- **Posted:** 2026-08-28
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/anyscale/d92a68e9-c2cc-452f-afbc-ae1bde5080b7

## Job description

At Anyscale https://www.anyscale.com/, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray https://docs.ray.io/en/latest/, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI https://thenewstack.io/how-ray-a-distributed-ai-framework-helps-power-chatgpt/, Uber https://www.uber.com/blog/horovod-ray/, Spotify https://engineering.atspotify.com/2023/02/unleashing-ml-innovation-at-spotify-with-ray/, Instacart https://www.youtube.com/watch?v=3t26ucTy0Rs&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=23&pp=iAQB, Cruise https://www.youtube.com/watch?v=gj0BqvfX_wI&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=46&pp=iAQB, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.

With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.

Proud to be backed by Andreessen Horowitz, NEA, and Addition https://www.wsj.com/articles/ai-startup-anyscale-adds-99-million-to-andressen-horowitz-led-funding-round-11661254200 with $250+ million raised to date.

## ABOUT THE ROLE

Anyscale runs on a small, high-leverage IT function, and we're looking for an IT Engineer to own it. This is a hands-on engineering role, not a help desk or tier-1 support role. Roughly half the job is software: you will own and extend a set of internal automation and notification services wired into our directory and hardware systems. You should be comfortable owning a codebase and a GitHub repository, not only vendor admin consoles.

The other half is the identity, endpoint, hardware, and vendor backbone that keeps a company of roughly 200 people, close to half of them engineers, productive across three public clouds. Reporting to the Head of Security and IT, you will work closely with security, engineering, and the people team. This role is based in the San Francisco Bay Area on a hybrid schedule.

## WHAT YOU'LL DO

- Own identity and access: Okta and Google Workspace administration, group-based authorization, 1Password Enterprise, passkeys, and automation driven provisioning and deprovisioning.
- Own and extend our internal automation services, and run them on scoped service accounts with sound security and hygiene.
- Own the endpoint fleet through mobile device management, including device trust posture checks, endpoint detection and response and other security and collaboration stack.
- Run hardware logistics end to end: procurement, global and international shipping through a managed provider, an inventory buffer, and returns and recycling.
- Own vendor management: a SaaS service catalog with owners and renewal dates, purchase request intake, and driving renewals to a decision.
- Help the team with audit evidence collection as well as designing controls that are helping us ace internal and external audits.
- Support conference room and office technology.

## WHAT YOU'LL BRING

- Strong hands-on experience administering Okta and Google Workspace.
- Experience managing a macOS fleet through mobile device management, including device trust and endpoint security tooling.
- Experience with identity lifecycle automation driven off an HRIS.
- A track record owning IT hardware logistics, vendor renewals, and SaaS management.
- Familiarity with audit evidence production and the discipline it requires.
- A high-ownership, automate-first mindset: you reach for code and process before headcount, and you are comfortable being accountable for IT end to end.

## NICE TO HAVE

- Experience in a high-growth startup where IT is a small, high-leverage function.
- Exposure to multi-cloud environments.
- Comfort with infrastructure-as-code.
- Experience running internal tooling on scoped service accounts rather than individual credentials.
- Background supporting a largely engineering workforce.
- Experience with AI providers on access, billing and spending limits.

## COMPENSATION

We believe in transparent pay practices. The anticipated base salary range for this role is $171,000 - $191,000. Final salary depends on experience, relevant skills, qualifications, and market considerations. In addition to base pay, eligible employees receive equity awards and enjoy a comprehensive benefits package designed to support their health, well-being, and financial future.

## WHY ANYSCALE

- We're on a mission to make scalable computing effortless. Ray is the AI Compute Engine at the center of some of the world's most powerful AI platforms
- Our tech is in production at companies like OpenAI, Uber, Spotify, Instacart, and Cruise
- We're backed by Andreessen Horowitz, NEA, and Addition, with $250M+ raised to date
- Recent partnerships with Azure, CoreWeave, and Google Cloud are putting AI-native compute directly into enterprise environments
- Competitive salary and equity, plus health/dental/vision coverage (many plans up to 99% employer-covered)
- We offer flexible time off, paid parental leave, and mental health support

## About Anyscale

## Company Overview
- **One-liner**: Anyscale provides a production-grade platform for building, running, and scaling data-intensive AI workloads, powered by the open-source Ray framework.
- **Entity Type**: Private (backed by prominent venture investors)
- **Headquarters**: San Francisco, CA, USA (600 Harrison Street, 4th Floor) and Bangalore, India
- **Founded**: 2019
- **Founders**: Co-founders include the creators of Ray from UC Berkeley RISELab (names not explicitly listed in provided sources)

## Core Business
- **Primary industry**: AI Infrastructure / Distributed Computing
- **Target customers**: AI teams building foundation models, data curation pipelines, batch inference, and serving workloads; B2B enterprise and startups
- **Mission**: Make scalable computing effortless  
  **Vision**: Build the future of distributed computing for AI and ML workflows

## Products & Services
- **[Anyscale Platform](https://www.anyscale.com/platform)**: A managed, production-grade platform that runs Ray clusters across any cloud. Includes developer tooling (Workspaces, managed dashboards), cluster orchestration (Jobs & Services, autoscaling, multi-cloud), governance (SSO, SAML, SCIM, budgets), observability (workload-specific dashboards, lineage tracking), and the fully managed Anyscale Runtime.
- **Ray Open-Source Framework**: Although open source and community-driven, Anyscale is built by the creators of Ray and offers the runtime as the core compute engine for its platform.

## Market Standing
- **Valuation/Market Cap**: Not disclosed in provided sources
- **Key Metric**: Total funding not specified in sources; investors include Sequoia Capital, Andreessen Horowitz, NEA, and others (based on investor logos on [about page](https://www.anyscale.com/about)). Ray has exceeded **500 million downloads** and **41K+ GitHub stars**.
- **Notable Investors/Partners**: Sequoia Capital, Andreessen Horowitz, NEA (from company website); partners include AWS, GCP, Azure, CoreWeave, Nebius.
- **Growth Signals**: Employee recommendation rating of **94%**; **4.7 Glassdoor** rating; three offices globally; used by foundation model builders for tasks like embedding generation (80% cheaper), batch inference (3x faster), and training (5x faster).

## Competitive Advantages
- **Ray ecosystem**: Anyscale is built and maintained by the original creators of Ray, the most widely adopted open-source AI compute engine, giving them deep technical expertise and influence on the project’s direction.
- **Multi-cloud orchestration**: Run workloads seamlessly across AWS, GCP, Azure, and specialized GPU clouds without cloud-specific rewrites.
- **Fine-grained hardware allocation and GPU pooling**: Dynamic capacity reallocation maximizes GPU utilization and reduces costs.
- **Developer experience**: Simple Python APIs (e.g., `@ray.remote`) and cluster-backed VS Code/Jupyter workspaces enable scaling from a laptop to a data center without code changes.

## Strategic Focus
- **Current priorities**: Foundation model training and post-training (RLHF, fine-tuning), multimodal data curation, batch embedding generation, and real-time serving. Emphasis on reducing GPU costs and improving developer velocity through unified governance and observability.
- **Direction for growth**: Expanding multi-cloud orchestration, deepening integrations with third-party libraries (vLLM, SGLang, PyTorch, XGBoost), and enabling teams to “unify and govern every team’s AI workloads across clouds.”

## Why Work Here
- **Culture**: Values include “Customer & Community Obsessed,” “LFG” (move fast, push boundaries), “Raise the Bar,” “Take the Longview.”
- **Remote/hybrid/office**: Offices in San Francisco, Palo Alto, and Bangalore. In-office meals (lunch and dinner) and commute reimbursement for Bay Area residents.
- **Benefits**:
  - Health, Vision, Dental (95% covered plans)
  - Fertility benefits (up to $12,500 via Kindbody) and 12 weeks paid parental leave
  - Flexible time off
  - $100/month learning and wellness stipend
  - Paid volunteer time off
  - Mental health support (Rula)
- **Engineering culture**: High autonomy, work on cutting-edge AI infrastructure, close connection to open-source community.

## Sources
1. [anyscale.com](https://www.anyscale.com/)
2. [anyscale.com/about](https://www.anyscale.com/about)
3. [anyscale.com/careers](https://www.anyscale.com/careers)
4. [anyscale.com/platform](https://www.anyscale.com/platform)
5. [jobs.ashbyhq.com/anyscale](https://jobs.ashbyhq.com/anyscale)

## Other roles at Anyscale

- [Software Engineer (Ray Core)](https://feeny.ai/job/software-engineer-ray-core-anyscale-san-francisco-tgvgg1pf4tav) — San Francisco, CA
- [Software Engineer (Ray Data)](https://feeny.ai/job/software-engineer-ray-data-anyscale-san-francisco-4r9rdkv0bpek) — San Francisco, CA
- [Software Engineer, ML Developer Experience](https://feeny.ai/job/software-engineer-ml-developer-experience-anyscale-san-francisco-5htsk54j4ngf) — San Francisco, CA
- [Senior Detection and Response Engineer](https://feeny.ai/job/senior-detection-and-response-engineer-anyscale-san-francisco-pm3xqtnx8mkx) — San Francisco, CA
- [Senior Product Security Engineer](https://feeny.ai/job/senior-product-security-engineer-anyscale-san-francisco-gj30mw06m274) — San Francisco, CA
- [Senior Cloud Security Engineer](https://feeny.ai/job/senior-cloud-security-engineer-anyscale-san-francisco-2g5rb8sm7htx) — San Francisco, CA
- [Compliance Manager](https://feeny.ai/job/compliance-manager-anyscale-san-francisco-hw0ps9rpgzd1) — San Francisco, CA
- [Site Reliability Engineer, Platform Infrastructure (Foundations)](https://feeny.ai/job/site-reliability-engineer-platform-infrastructure-foundations-anyscale-san-qc9t0scbmk32) — San Francisco, CA
- [Software Engineer, Infrastructure](https://feeny.ai/job/software-engineer-infrastructure-anyscale-san-francisco-p3j0kvwghvz4) — San Francisco, CA
- [Software Engineer, Platform Infrastructure (Foundations)](https://feeny.ai/job/software-engineer-platform-infrastructure-foundations-anyscale-bengaluru-j6depxmgkrzh) — Bengaluru, India