Design, build, and deploy core ML infra components on Kubernetes.
Develop robust services across the ML lifecycle: ingestion, processing, training, evaluation.
Write high-quality, maintainable code for high-throughput data systems.
Own features end-to-end from design to production deployment and operation.

🎯 Requirements

4+ years of professional software engineering experience.
BS or MS in Computer Science or related technical field.
Hands-on Kubernetes (k8s) experience.
Experience building or working on high-scale infrastructure or distributed backends.
Strong proficiency in Python and/or Go.
Experience with AWS, GCP, or Azure.

🎁 Benefits

Medical, dental, and vision coverage
401(k) with company match
Health savings accounts (HSA)
Life insurance
Pet insurance

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