Overview
Senior Software Engineer - Enterprise Platform
This range is provided by Baseten. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay
$200,000.00 / yr - $270,000.00 / yr
About Baseten
Baseten powers inference for the world's most dynamic AI companies, like OpenEvidence, Clay, Mirage, Gamma, Sourcegraph, Writer, Abridge, Bland, and Zed. 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. With our recent $150M Series D funding, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction, we’re scaling our team to meet accelerating customer demand.
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
- Inference on B200 GPUs
- Multi-node inference
- 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 field5+ years of experience building distributed systems, cloud infrastructure, or Kubernetes-based solutions in production environmentsPast experience working with enterprise security, compliance, and privacy requirementsAdvanced understanding of distributed systems concepts, cloud architectures, and performance optimizationDemonstrated ability to independently manage technical projects, from planning and specification through implementationExcellent collaboration and communication skills, with experience coordinating across functional teams and directly with customersPreferred experience working with AI / ML systems or familiarity with MLOps practicesBenefits
Competitive compensation package.This is a unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era.An inclusive and supportive work culture that fosters learning and growth.Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.#J-18808-Ljbffr
