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Senior Software Engineer - Enterprise Platform

Baseten

Senior Software Engineer - Enterprise Platform

Baseten

San Francisco

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Competitive salary and equity package

Parental leave

Comprehensive health, dental, and vision insurance

Generous paid time off and holidays

Professional development budget

Team events and activities

Equity

Parental Leave

Healthcare

Learning

Required Skills

PostgreSQL

Python

JavaScript

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 https://www.baseten.co/blog/announcing-baseten-s-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 a Senior Enterprise Platform Engineer at Baseten, you'll architect and lead development of infrastructure and platform features for our enterprise customers and cloud partners. This includes enabling self-hosted and single tenant clusters, region-aware request routing, enterprise-grade data and security integrations, and more.

EXAMPLE INITIATIVES

You'll get to work on these types of projects as part of our Infrastructure team:

  • Multi-cloud capacity management https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/

  • Inference on B200 GPUs https://www.baseten.co/blog/accelerating-inference-nvidia-b200-gpus/

  • Multi-node inference https://www.baseten.co/blog/how-multi-node-inference-works-llms-deepseek-r1/

  • Fractional H100 GPUs for efficient model serving https://www.baseten.co/blog/using-fractional-h100-gpus-for-efficient-model-serving/

RESPONSIBILITIES:

  • Architect and develop infrastructure and platform features tailored for enterprise customers, including self-hosted clusters, single-tenant environments, and cross-cloud workload orchestration.

  • Lead technical initiatives to productize secure and scalable private connectivity solutions.

  • Design and implement solutions addressing the complex regulatory and compliance requirements of our customers, including data residency, auditability, and enterprise data protection.

  • Advance our self-hosted infrastructure offerings, focusing on capacity management, release management, and observability tooling.

  • Collaborate on partner-focused initiatives to deliver secure, minimal Baseten deployments within partner environments.

  • Evaluate and implement emerging virtualization technologies to enhance platform isolation and security.

  • Independently develop technical specifications, collaborate cross-functionally to define product requirements, and drive projects from conception through execution.

  • Provide mentorship and leadership on enterprise infrastructure best practices, fostering knowledge-sharing across engineering teams.

REQUIREMENTS:

  • Bachelor's degree or higher in Computer Science or related field

  • 5+ years of experience building distributed systems, cloud infrastructure, or Kubernetes-based solutions in production environments

  • Past experience working with enterprise security, compliance, and privacy requirements

  • Advanced understanding of distributed systems concepts, cloud architectures, and performance optimization

  • Demonstrated ability to independently manage technical projects, from planning and specification through implementation

  • Excellent collaboration and communication skills, with experience coordinating across functional teams and directly with customers

  • Preferred experience working with AI/ML systems or familiarity with MLOps practices

BENEFITS:

  • Competitive compensation, including meaningful equity.

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

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

  • Paid parental leave

  • 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.

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About Baseten

Baseten

Baseten

Series C

Baseten provides a platform for deploying and scaling machine learning models in production environments. The company offers infrastructure and tools for ML engineers to build, deploy, and monitor AI applications.

51-200

Employees

San Francisco

Headquarters

$1.0B

Valuation

Reviews

3.8

41 reviews

Work Life Balance

3.5

Compensation

4.0

Culture

3.9

Career

4.0

Management

3.6

73%

Recommend to a Friend

Pros

Supportive team and management

Opportunity for career growth

Good work-life balance and flexible environment

Cons

Career progression could be clearer

Internal communication could improve

Work-life balance varies by team

Salary Ranges

0 data points

Junior/L3

L2

L3

L4

L5

L6

Junior/L3 · Recruiter

0 reports

$183,600

total / year

Base

-

Stock

-

Bonus

-

$156,060

$211,140

Interview Experience

52 interviews

Difficulty

3.3

/ 5

Duration

14-28 weeks

Offer Rate

42%

Experience

Positive 66%

Neutral 21%

Negative 13%

Interview Process

1

Phone Screen

2

Technical Interview

3

Hiring Manager

4

Team Fit

Common Questions

Technical skills

Past experience

Team collaboration

Problem solving