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# Software Engineer - Infrastructure

- **Company:** Baseten, Inc
- **Location:** San Francisco, CA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Programming Tools, Distributed Systems, Monitoring of Systems, Python (Programming Language), Machine Learning, Performance Tuning, Software Engineering, AI Infrastructure, Data Logging, Scripting, Reliability of Systems, Containerization, Kubernetes, Information Technology, Machine Learning Operations
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/software-engineer-infrastructure-san-francisco-ca--d527b99c-8661-43b3-a33a-eafc6eb5c859

## About the Role

Software Engineering, Writing Skills, Programming Tools, Artificial Intelligence (AI), Product Shipments, Infrastructure Software, Software Engineering, Performance Modeling, Capacity Management, Cloud Computing, * Bachelor's degree or higher in Computer Science or related field

 * 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

## Description

As an Infrastructure Software Engineer at Baseten, you'll build and maintain components of our ML inference platform that powers production AI applications. You'll contribute to the core infrastructure, enabling developers to deploy, scale, and monitor ML models with high performance., * 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