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BasetenBasetenSan Francisco, CA

Software Engineer - Enterprise Platform

Architects and leads development of enterprise platform infrastructure, including self-hosted clusters, compliance solutions, and multi-cloud orchestration for AI inference. Requires 5+ years in distributed systems or Kubernetes, with enterprise security experience.

165k – 330k/yr
Hybrid5+ YOEFullstack Engineering

About the role

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
  • Paid parental leave
  • Company-facilitated 401(k)
  • Exposure to a variety of ML startups

Skills

KubernetesDistributed SystemsCloud InfrastructureAWSGCPAzureMLOpsObservabilityVirtualizationSecurityCompliance

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