Software Engineer, Ai & Data Platforms

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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Learning budget

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Verification

Not verified last checked Jun 13, 2026

Salary

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401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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Weekend work

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About this role

Software Engineer, Ai & Data Platforms Austin, United States of America We're building a development environment platform that provides consistent, reproducible environment containers for software development and testing. These environments can run on a developer's local machine or on shared cloud or cluster-based infrastructure, allowing teams to choose the workflow that best fits their needs. Developers use familiar IDEs such as VS Code and JetBrains to edit and debug code while the platform manages environment lifecycle, configuration, and tooling. As a Senior Software Engineer, you'll work across infrastructure, developer tooling, and IDE integrations to deliver a seamless, high-quality developer experience. In this role, you will work hands-on designing and building container-based development and test environments that run consistently across local machines and shared cloud infrastructure. Your day-to-day work will involve developing services and tooling to provision, configure, and manage the lifecycle of these environments, as well as collaborating closely with product, DevOps, and security partners to ensure they are reliable, secure, and easy to use. You will regularly build and iterate on IDE extensions and integrations for VS Code and JetBrains IDEs, enabling developers to seamlessly edit, build, and debug code within these environments. You'll troubleshoot issues across infrastructure, containers, and developer tooling, optimize performance and usability, and help establish best practices for environment definitions, CI/CD integration, and developer onboarding. Throughout your work, you'll focus on improving the developer experience by making development environments faster to start, easier to understand, and consistent across teams and workflows. Design and implement container-based

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