Senior Infrastructure Software Engineer

Summary

Join Baseten's dynamic team revolutionizing AI deployment with cutting-edge inference infrastructure. As a Senior Infrastructure Software Engineer, you will architect and lead development of our ML inference platform, making key technical decisions for infrastructure enabling developers to deploy, scale, and monitor ML models. You will design scalable infrastructure systems, optimize Kubernetes deployments, enhance our inference orchestration layer, and define monitoring strategies. The role requires leading technical discussions, mentoring junior engineers, and contributing to long-term technical strategy. Baseten offers a competitive compensation package including unlimited PTO, 401k, covered healthcare premiums, and a remote-first culture.

Requirements

• Bachelor's degree or higher in Computer Science or related field
• 5+ years experience building production infrastructure systems
• Expert-level proficiency in Go, with Python experience a plus
• Deep expertise with Kubernetes in production environments
• Advanced understanding of distributed systems concepts and performance tuning
• Proven experience designing observability systems
• Track record of leading technical initiatives and mentoring engineers

Responsibilities

• Design and architect scalable infrastructure systems for our ML inference platform
• Lead optimization of Kubernetes deployments for efficient, cost-effective model serving
• Drive enhancements to our inference orchestration layer for complex model deployments
• Define monitoring strategies for model performance, latency, and resource utilization
• Develop advanced solutions for GPU capacity management and throughput optimization
• Establish infrastructure automation standards to streamline ML deployment workflows
• Partner with other engineers to translate complex inference requirements into technical solutions
• Make critical architectural decisions balancing performance with system reliability
• Lead technical discussions and mentor junior engineers on infrastructure best practices
• Contribute to long-term technical strategy and infrastructure roadmap

Preferred Qualifications

• Extensive experience with major cloud providers (AWS, GCP) and neo-cloud providers (Crusoe, DigitalOcean, Nebius) a plus
• Experience with ML/AI workloads and MLOps platforms highly valued

Benefits

• Competitive compensation package (Unlimited PTO, 401k, covered healthcare premiums, remote-first culture)
• 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