Senior Software Engineer - Enterprise Platform at Baseten

San Francisco, California, United States

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$200,000 – $270,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Software, Artificial IntelligenceIndustries

Requirements

Candidates must possess a Bachelor's degree or higher in Computer Science or a related field, with over 5 years of experience in building distributed systems, cloud infrastructure, or Kubernetes-based solutions in production. Experience with enterprise security, compliance, and privacy requirements, along with a strong understanding of distributed systems, cloud architectures, and performance optimization, is essential. Demonstrated ability to independently manage technical projects and excellent collaboration and communication skills are also required, with preferred experience in AI/ML systems or MLOps.

Responsibilities

The Senior Enterprise Platform Engineer will architect and develop infrastructure and platform features for enterprise customers, including self-hosted and single-tenant clusters, and region-aware request routing. Key responsibilities include leading initiatives for secure and scalable private connectivity solutions, designing systems for complex regulatory and compliance requirements, and advancing self-hosted infrastructure offerings with a focus on capacity, release, and observability. The role also involves collaborating on partner-focused initiatives for secure deployments, evaluating virtualization technologies, developing technical specifications, and providing mentorship on enterprise infrastructure best practices.

Skills

Infrastructure Architecture

Cloud Computing

Multi-cloud

Data Security

Compliance

Capacity Management

Release Management

Observability

Virtualization

Baseten

Platform for deploying and managing ML models

About Baseten

Baseten provides a platform for deploying and managing machine learning (ML) models, aimed at simplifying the process for businesses. Users can select from a library of open-source foundation models and deploy them with just two clicks, making it easier to implement ML solutions. The platform features autoscaling, which adjusts resources based on demand, and comprehensive monitoring tools for tracking performance and troubleshooting. A key differentiator is Baseten's open-source model packaging framework, Truss, which allows users to package and deploy custom models easily. The company operates on a usage-based pricing model, where clients pay only for the time their models are actively deployed, helping them manage costs effectively.

San Francisco, CaliforniaHeadquarters

2019Year Founded

$58.4MTotal Funding

SERIES_BCompany Stage

AI & Machine LearningIndustries

51-200Employees

Benefits

💰 Competitive compensation: We aim to provide 90th percentile (or better) salaries and equity grants for every team member commensurate with their experience.

🌎 Remote-first work environment: The Baseten team is welcome to work from wherever they want; fully remote, in our San Francisco office, or a mix of both. We provide a $1,000 stipend for you to make your home office comfortable and productive.

🏓 Regular in-person team summits: We get together as a team three times a year to plan, workshop, and most importantly, get to know each other better.

🌴 Unlimited PTO: We ask that everyone take at least 4 weeks of vacation. And we have a company-wide break between Christmas and New Year's Day.

🏥 Full healthcare coverage: Medical, dental and vision insurance for you and your family.

🍼 Paid parental leave: 16-weeks fully paid parental leave (adoptive and non-birth parents included) and flexibility with schedules while returning to work.

📈 401(k): Company-sponsored 401(k) for you to contribute to.

🧠: Learning and development budget: We encourage you to take classes, attend conferences, and invest in your craft and we’ll cover expenses to make it happen.

Risks

Increased competition from specialized AI models tailored for specific industries.

Potential over-reliance on Google Cloud Marketplace may limit flexibility and control.

Rapid AI model development could render Baseten's offerings obsolete without continuous innovation.

Differentiation

Baseten offers a serverless backend for machine-learning applications with auto-scaling.

Truss, an open-source model packaging framework, allows seamless deployment of custom models.

Baseten's platform provides comprehensive monitoring tools for efficient model performance tracking.

Upsides

Integration with Google Cloud Marketplace boosts visibility and customer acquisition potential.

$40M Series B funding enhances Baseten's platform capabilities and market reach.

Chains framework positions Baseten for complex AI workflows, attracting sophisticated projects.

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