Anyscale

Anyscale

Staff Software Engineer, Platform Infrastructure (Foundations)

San Francisco · Staff+

Sponsorship not specifiedDetected 1 day ago
PythonGoDistributed SystemsAWSGCPAzureKubernetesLinuxMachine LearningData ScienceLeadershipMentoring

Stay score

odds of building a lasting career here

38Risky
Cap-exempt (no lottery)0
Sponsors this role82
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

Personalize to your clock →

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

9 transfer filings in the last year, covering 9 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • As a Staff Engineer, you will be responsible for the architectural evolution of our control plane and data plane, ensuring that our "infinite laptop" vision scales to meet the most demanding distributed AI workloads in the world.
  • You will act as a force multiplier, setting the standards for Kubernetes-based cloud-native infrastructure while mentoring engineers and driving cross-functional alignment across the Ray open-source community and our proprietary product teams.
  • Establish the organization-wide standards for the reliability, scalability, and observability of Anyscale-managed infrastructure.

Responsibilities

  • Architectural Leadership: Define and drive the multi-year technical roadmap for services that orchestrate Ray clusters across diverse cloud and on-premises environments.
  • Systemic Optimization: Lead the design and optimization of high-performance control plane components specifically tailored for large-scale, heterogeneous AI/ML workloads.
  • Technical Governance: Lead complex design and architecture discussions, resolving deep technical debt and ensuring engineering excellence across the organization.
  • Cross-Functional Influence: Partner with ML experts and customer-facing teams to translate market needs into robust infrastructure foundations.
  • Lead the design and optimization of high-performance control plane components specifically tailored for large-scale, heterogeneous AI/ML workloads.
  • Lead complex design and architecture discussions, resolving deep technical debt and ensuring engineering excellence across the organization.
  • Partner with ML experts and customer-facing teams to translate market needs into robust infrastructure foundations.

Requirements

  • Architectural Depth: Proven track record of designing and maintaining highly available, scalable, and secure cloud-native platforms (AWS, Azure, or GCP).
  • Kubernetes Mastery: Deep expertise in Kubernetes-based deployments and container orchestration at massive scale.
  • System Foundations: Advanced knowledge of Linux kernel, networking, and low-level operating system foundations.
  • Technical Proficiency: Mastery of Go and Python, with the ability to set coding standards and best practices for the team.
  • Leadership Skills: Demonstrated ability to mentor senior engineers, influence technical direction without direct authority, and navigate complex trade-offs in a fast-paced environment.
  • 5+ years of experience writing high-quality production code and leading complex distributed systems projects.
  • Proven track record of designing and maintaining highly available, scalable, and secure cloud-native platforms (AWS, Azure, or GCP).
  • Deep expertise in Kubernetes-based deployments and container orchestration at massive scale.
  • Advanced knowledge of Linux kernel, networking, and low-level operating system foundations.
  • 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
  • We offer flexible time off, paid parental leave, and mental health support
  • Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.

Skills

  • 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)
  • Why Anyscale
  • Anyscale Inc. is an Equal Opportunity Employer.

Compensation

  • Competitive salary and equity, plus health/dental/vision coverage (many plans up to 99% employer-covered)

Company info

  • About Anyscale: At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels.
Apply directly at Anyscale →Create a free account for alerts like thisView Anyscale immigration profile

This listing is sourced directly from Anyscale's careers page and normalized into a canonical job model.