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Overnight Software Engineer Spotify Jobs in California

Sanity

Senior Software Engineer, AI Growth

San Francisco, CA · On-site +1

$144K - $190K/yr

Companies like Linear, Figma, Riot Games, Anthropic, Spotify, Arc'teryx and Morningbrew are using ... Build agentic developer tools - ship systems that can generate Sanity apps and studios, as well as ...

Anyscale, Inc

Forward Deployed Engineer

San Francisco, CA · On-site

$250K - $275K/yr

... to software developers of all skill levels. We're commercializing Ray, a popular open-source ... Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech ...

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All JobsSoftware Engineer Spotify JobsOvernight Software Engineer Spotify JobsOvernight Software Engineer Spotify Jobs in California

Overnight Software Engineer Spotify information

What is the difference between Overnight Software Engineer Spotify vs Data Engineer Spotify?

AspectOvernight Software Engineer SpotifyData Engineer Spotify
Primary FocusDeveloping and maintaining software applications during overnight shiftsBuilding and managing data pipelines and infrastructure
Required SkillsProgramming, software development, system troubleshootingSQL, data modeling, ETL processes
Work EnvironmentSoftware development teams, overnight shifts, collaborativeData teams, infrastructure, often flexible hours
Common CertificationsSoftware development certifications (e.g., Java, Python)Data engineering certifications (e.g., AWS, Google Cloud)

While both roles involve technical expertise, the Overnight Software Engineer Spotify focuses on software development during overnight hours, whereas the Data Engineer Spotify specializes in data infrastructure and pipelines. The roles differ in daily tasks but share a need for strong technical skills and industry experience.

What are the most commonly searched types of Software Engineer Spotify jobs in California? The most popular types of Software Engineer Spotify jobs in California are:
What are popular job titles related to Overnight Software Engineer Spotify jobs in California? For Overnight Software Engineer Spotify jobs in California, the most frequently searched job titles are:
What job categories do people searching Overnight Software Engineer Spotify jobs in California look for? The top searched job categories for Overnight Software Engineer Spotify jobs in California are:
What cities in California are hiring for Overnight Software Engineer Spotify jobs? Cities in California with the most Overnight Software Engineer Spotify job openings:
Overnight Software Engineer Spotify jobs near you
Infographic showing various Overnight Software Engineer Spotify job openings in California as of June 2026, with employment types broken down into 1% As Needed, 82% Full Time, 16% Part Time, and 1% Temporary. Highlights an 90% Physical, and 10% Remote job distribution.

Software Engineer, Infrastructure

Anyscale, Inc

San Francisco, CA • On-site

$215K - $275K/yr

Full-time

Posted 27 days ago

Job description

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 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 Infra team, we build the scalable, secure, and robust backbone that enables this vision.
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 and the Right to Work posters in English and Spanish

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