Software Engineer - Internal Platform

Reposted 3 Hours Ago
4 Locations
Remote or Hybrid
165K-330K Annually
Mid level
Software
Inference will be the largest market ever created.
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 $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. 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).

Skills Required

  • Proficiency in Go and/or Python
  • Experience with Kubernetes/Docker tooling
  • Experience managing large monorepos
  • Understanding of CI/CD concepts
  • Experience developing open-source developer tools

Baseten Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Baseten and has not been reviewed or approved by Baseten.

  • Fair & Transparent Compensation Feedback suggests pay targets the top of market with explicit ranges in postings and a stated aim to provide 90th percentile salaries with equity. Role descriptions emphasize competitive, experience-based pay bands and meaningful stock grants.
  • Healthcare Strength Healthcare is described as fully covered for medical, dental, and vision for employees and their families, reducing out-of-pocket costs. This comprehensive coverage is consistently highlighted alongside other core benefits.
  • Leave & Time Off Breadth Time off policies include unlimited PTO with a minimum expectation of at least four weeks, 16 paid company holidays, and a company-wide winter break. These elements indicate substantial protected time away from work.

Baseten Insights

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The Company
HQ: San Francisco, CA
350 Employees
Year Founded: 2019

What We Do

AI’s future won’t be a few massive models built by a handful of labs. It’ll be millions of specialized models embedded into every product, workflow, and experience by the people closest to the customer. The foundation of that future is inference. Inference determines the performance, reliability, latency, and economics of every AI product. For AI to scale globally, it must be as reliable, fast, cost-effective, and high-quality as possible. That’s why Baseten exists. Companies like Abridge, Cursor, Lovable, Notion, and OpenEvidence depend on Baseten to power mission-critical AI workloads in production.

Why Work With Us

We’re an interdisciplinary team of researchers, engineers, and operators building the Inference Cloud our AI future demands. We’re running at a hard systems problem that requires first-principles thinking across the entire stack. The bar is high. We work hard, move fast, and care deeply about quality.

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