Senior Software Engineer - Infrastructure

Baseten powers mission-critical inference for the world's most dynamic AI companies, and they are seeking a Senior Infrastructure Software Engineer to architect and lead the development of their ML inference platform. The role involves making key technical decisions and optimizing infrastructure to enable developers to deploy, scale, and monitor ML models with high performance and reliability.

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

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
• Extensive experience with major cloud providers (AWS, GCP) and neo-cloud providers (Crusoe, DigitalOcean, Nebius) a plus
• Advanced understanding of distributed systems concepts and performance tuning
• Proven experience designing observability systems
• Track record of leading technical initiatives and mentoring engineers
• Experience with ML/AI workloads and MLOps platforms highly valued