Software Engineer, Infrastructure

Anyscale
San Francisco, CA
On-site

Who this role is best for

Strong fit for mid-level engineers with cloud-native infrastructure expertise who collaborate on distributed systems and on-call support. Candidates should have hands-on experience in control plane/data plane development and be comfortable with heterogeneous compute environments.

Best fit for

  • Mid-level engineers with 3+ years in distributed systems and cloud-native deployments
    — “3+ years of experience writing high-quality production code
  • Professionals who bridge open-source contributions and proprietary product development
    — “You will have the opportunity to work on open-source Ray, contribute to our infinite laptop proprietary product
  • Individuals with Go/Python proficiency and low-level OS knowledge
    — “Proficiency in Go and Python, Knowledge of low-level operating system foundations

Things to consider

  • On-call support required for infrastructure troubleshooting
    — “Provide on-call support, working closely with customer and field teams

How to stand out

  • Highlight experience with container orchestration and heterogeneous resource scheduling
    — “Build intelligent scheduling and resource management systems for heterogeneous compute clusters
  • Emphasize observability stack implementation and optimization work
    — “Develop features to enhance ... observability of Anyscale-managed Ray workloads
  • Showcase accelerator integration (GPUs/TPUs) optimization experience
    — “Support and optimize accelerator integration (e.g., GPUs, TPUs)
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Mid

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • cluster management
  • resource management
  • observability
  • accelerator integration
Typical background
distributed systemscloud engineeringinfrastructure development

Skills & requirements

Required

Distributed SystemsKubernetesCloud-native TechnologiesContainer OrchestrationNetworkingSecurityAuthentication MechanismsHigh-performance Computing

Preferred

Open-source ContributionAI Infrastructure

Stack & domain

Distributed ComputingRayKubernetesContainer OrchestrationCloud-native InfrastructureControl PlaneData PlaneCluster ManagementSchedulingUser AccessHigh-performance ExecutionDistributed WorkloadsAccelerator IntegrationContainer Image ManagementDependency ResolutionCode ReviewsDesignArchitectureOn-call SupportTroubleshootingDistributed SystemsMachine LearningCollaborationProblem-solvingTeamworkCommunicationMentorshipCoachingHigh-trust CultureHigh-ownership Culture

About the role

Original posting from Anyscale via Ashby

About Anyscale:

At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We're commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, 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 with $250+ million raised to date.

About the role

Anyscale is looking for a Software Engineer to join the Platform and Infrastructure team. Anyscale aims to provide the next generation of tools and infrastructure to make developing and running distributed AI applications in the cloud as easy as on your laptop. As part of the team, we build the scalable, secure, and robust backbone that enables this vision, ensuring that our "infinite laptop" vision scales to meet the most demanding distributed AI workloads in the world.

Our team is responsible for both the control plane, which orchestrates cluster management, scheduling, and user access, and the data plane, which ensures high-performance execution of distributed workloads.

We are seeking a talented Software Engineer with a strong background in control plane and data plane development, along with expertise in Kubernetes, container orchestration, and cloud-native infrastructure. You will play a crucial role in designing, implementing, and optimizing the critical infrastructure that powers Anyscale's cloud platform.

You will have the opportunity to work on open-source Ray, contribute to our infinite laptop proprietary product, and develop seamless integration between the two, while also delivering high-impact features for our customers.

A snapshot of projects you may work on

  • Design, build, and scale services that orchestrate Ray clusters across cloud and on-prem environments, supporting both VM-based and Kubernetes-based deployments
  • Optimize control plane components for large-scale, distributed AI/ML workloads
  • Build intelligent scheduling and resource management systems for heterogeneous compute clusters
  • Develop features to enhance the reliability, performance, scalability, and observability of Anyscale-managed Ray workloads
  • Support and optimize accelerator integration (e.g., GPUs, TPUs).
  • Handle container image management and dependency resolution for distributed workloads
  • Participate in code reviews, design and architecture discussions
  • Provide on-call support, working closely with customer and field teams to troubleshoot infrastructure issues
  • Collaborate with leading distributed systems and machine learning experts to push the boundaries of AI infrastructure

We'd love to hear from you if have

  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
  • 3+ years of experience writing high-quality production code
  • Hands-on experience in building and maintaining highly available, scalable, and performant distributed system
  • Expertise in cloud-native technologies (AWS, Azure, GCP) and Kubernetes-based deployments
  • Deep understanding of networking, security, and authentication mechanisms in cloud environment
  • Familiarity with observability stacks (Prometheus, Grafana etc)
  • Proficiency in Go and Python
  • Knowledge of low-level operating system foundations (Linux kernel, file systems, containers)

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. 

Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation https://drive.google.com/file/d/1Kt2S6_k_SjxaEdGowH4rngVdg2ApAQV3/view?usp=sharing and the Right to Work posters in English and Spanish https://drive.google.com/file/d/1K3Nz72xgsU2hngnVUEu53wEeZjbAMbnZ/view?usp=sharing

Source: Anyscale careers (Ashby)

Similar roles