Software Engineer - Enterprise Platform
Remote • San Francisco • FullTime
Posted 1y ago
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
AI Infrastructure Engineer
About the job
Baseten powers mission-critical inference for leading AI companies, enabling them to bring cutting-edge models into production. We are seeking an Engineer for our enterprise engineering team to build capabilities that support large organizations with their security, compliance, and procurement needs. This role involves deep product and systems work across the full stack, focusing on core building blocks like identity and access management, billing, regional isolation, and deployment options. You will design authentication and authorization systems and develop administrative experiences for enterprise IT teams.
Responsibilities
- Lead complex engineering initiatives from conception to launch and iteration.
- Make architectural decisions balancing immediate customer needs with long-term system health.
- Collaborate with product, design, and customer-facing teams to translate user needs into technical solutions.
- Establish and maintain high standards for engineering quality, security, observability, and operational ownership.
- Provide technical leadership and mentorship to team members.
Requirements
- Experience building enterprise software, including areas like identity and access management, billing systems, multi-tenant isolation, private connectivity, or compliance initiatives.
- Proven ability to lead technical projects, manage scalable systems, and understand customer needs.
- Proficiency across the full stack, including application code, cloud, and Kubernetes infrastructure.
- Preferred experience building AI or data-intensive infrastructure products.
Benefits
- Competitive compensation and meaningful equity
- 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy with company-wide Winter Break
- Paid parental leave
- Fertility and family-building stipend
- Company-facilitated 401(k)
- Exposure to ML startups for learning and networking