Software Engineer - Internal Platform

Reposted 22 Days Ago
3 Locations
Remote or Hybrid
165K-330K Annually
Mid level
Software
The Role
As a Software Engineer in the Platform Team, you will build internal tooling and infrastructure to enhance productivity, collaboration, and quality across engineering teams.
Summary Generated by Built In

ABOUT BASETEN

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products.

THE ROLE

As an early member of Baseten's Platform Team, you will be pivotal in building internal infrastructure to support our engineering organization. While our product provides infrastructure for AI development, your focus will be on creating robust internal systems that amplify the productivity, collaboration, and quality of work across all engineering teams by providing exceptional tooling, efficient workflows, and robust development environments.

If you are passionate about elegant solutions—like streamlined monorepos, lightning-fast CI pipelines, and thoughtfully designed shared libraries—you'll thrive at Baseten.

RESPONSIBILITIES

  • Create diverse tooling tailored to the needs of different engineering teams.

  • Enhance monorepo capabilities and develop project templates for consistency and efficiency.

  • Design and implement shared libraries focused on observability.

  • Improve the speed, reliability, and comprehensiveness of our CI pipelines.

  • Assist in designing and maintaining Terraform modules for infrastructure management.

  • Provide innovative solutions to enhance visibility in continuous delivery (CD) processes.

  • Actively support engineering teams, ensuring they have the resources and tools necessary to remain productive.

REQUIREMENTS

  • Strong-level proficiency in Go and/or Python.

  • Experience with Kubernetes/Docker tooling (e.g., Helm, Docker, Kubernetes).

  • Experience managing and working with large monorepos. Bonus points for familiarity with tools such as Bazel, Pants, Moon, Turborepo, etc.

  • Advanced understanding of CI/CD concepts.

  • Excellent developer tool culture with a focus on best practices. Bonus points if you have personally developed open-source developer tools.

BENEFITS

  • Competitive compensation, including meaningful equity.

  • 100% coverage of medical, dental, and vision insurance for employee and dependents

  • Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)

  • Paid parental leave

  • Fertility and family-building stipend through Carrot

  • Company-facilitated 401(k)

  • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.

At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

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The Company
59 Employees

What We Do

At Baseten we provide all the infrastructure you need to deploy and serve ML models performantly, scalably, and cost-efficiently. Get started in minutes, and avoid getting tangled in complex deployment processes. You can deploy best-in-class open-source models and take advantage of optimized serving for your own models. We also utilize horizontally scalable services that take you from prototype to production, with light-speed inference on infra that autoscales with your traffic. Best in class doesn't mean breaking the bank. Run your models on the best infrastructure without running up costs by taking advantage of our scaled-to-zero feature

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