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.

🎯 Requirements

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).

🎁 Benefits

Medical, dental, vision; 401k with company match; HSA; life and pet insurance.
Diverse, inclusive culture that values every employee.

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