Senior Software Engineer, ML Infrastructure

Design, build, and deploy core ML infra components on Kubernetes. Develop robust services for the ML lifecycle, from data ingestion to model evaluation. Write high-quality, maintainable code for high-throughput data systems. Own features and systems end-to-end, from design to production deployment. 4+ years of professional software engineering experience. BS or MS in Computer Science or related field. Hands-on experience developing and deploying apps on Kubernetes (k8s). Experience building or working on high-scale infrastructure or distributed backends. Strong proficiency in Python, Go, or similar language. Solid experience with a major cloud provider (AWS, GCP, Azure). Medical, dental, vision; 401k with company match; HSA; life and pet insurance. Diverse, inclusive culture that values every employee.