Software Engineer - Infrastructure

Summary: Baseten is a company that powers mission-critical inference for leading AI companies by providing flexible infrastructure and developer tools. The Infrastructure Software Engineer will build and maintain components of the ML inference platform, enabling developers to deploy and monitor ML models efficiently. Responsibilities: - Develop infrastructure components for our ML inference platform using Python and Go - Implement and maintain Kubernetes deployments for model serving - Contribute to our inference orchestration layer for model deployments - Build and enhance monitoring systems for model performance metrics - Implement efficient resource management solutions for ML workloads - Support infrastructure automation to improve ML deployment workflows - Work closely with team members to implement technical solutions - Help balance performance optimization with system reliability - Participate in technical discussions around infrastructure improvements - Learn and apply infrastructure best practices Required Qualifications: - Bachelor's degree or higher in Computer Science or related field - 1-3 years experience in software engineering or infrastructure - Proficient coding abilities in one or more popular programming or scripting languages; Go proficiency is a plus - Working knowledge of Kubernetes and containerization - Basic understanding of machine learning concepts and model serving - Familiarity with distributed systems concepts - Experience with basic monitoring and logging tools - Interest in ML/AI infrastructure and willingness to learn - Strong collaboration and communication skills Required Skills: Python, Kubernetes Important Skills: Go, Machine Learning Nice-to-Have Skills: Collaboration, Communication Benefits: 100% coverage of medical, dental, and vision insurance for employee and dependents, Generous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!), Paid parental leave, Company-facilitated 401(k), Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.