Software Engineer (Release & Engineering Efficiency)

Software Engineer (Release & Engineering Efficiency)

Minimum Requirements

• At least 2 years of software engineering experience in CI/CD, build systems (Bazel), large-scale systems engineering or distributed systems in a cloud environment
• Experience with Infrastructure as Code tooling (Terraform, CloudFormation, Pulumi, etc)
• Experience with AWS cloud infrastructure (EC2, S3, IAM, Docker, etc)
• Experience with Kubernetes

Responsibilities

• Design and implement developer velocity improvement projects across all engineering teams
• Define and deliver developer-focused solutions for CI/CD tools, build systems, and automated release systems that enable scalable development
• Design, build, and maintain core testing infrastructure to ensure that Ray remains an industry-leading scalable and distributed programming runtime and that our proprietary platform remains highly stable and scalable
• Work with infrastructure teams to influence, develop, and evaluate Anyscale cluster management features
• Work with the open-source Ray team to design and implement distributed testing frameworks and applications to help ensure correctness of the program across operating systems, architecture, and underlying environments

Benefits

• At Anyscale, we take a market-based approach to compensation
• The target salary for this role is $172,480 - $240,000
• Healthcare plans, with premiums covered by Anyscale at 99%
• 401k Retirement Plan
• Wellness stipend
• Education stipend
• Paid Time Off
• 100% of in-office meals covered

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, 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.

Anyscale is based in San Francisco, CA. Employees are required to come in office 3x a week.

Compensation

This role is also eligible to participate in Anyscale's Equity and Benefits offerings, including the following:

• Stock Options
• Paid Parental Leave
• Commute reimbursement

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.