Senior Software Engineer - Enterprise Platform

🕒 August 21, 2025

🏢🏡 San Francisco – Hybrid

💵 $200k - $270k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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Baseten

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

💰 $8M Seed Round on 2022-04

Artificial Intelligence • SaaS • Enterprise

Baseten is a company that provides fast, scalable model inference services, designed for performance, security, and a delightful developer experience. They offer tools to streamline the entire development process, enabling high-throughput inference and fast deployment times. Baseten caters to enterprise companies by delivering robust, secure, and scalable model serving solutions, particularly useful for machine learning and AI model deployment. Their solutions allow organizations to efficiently manage model infrastructure while focusing on creating domain-specific models. Baseten supports open-source model packaging and offers autoscaling features to handle varying demand efficiently.

📋 Description

• 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 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.