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Own the architecture and evolution of core ML workflow systems, including Artifacts, Registry, and Automations. Design and scale systems to handle billions of artifacts and high-volume event throughput across the full stack.
Requirements: Requires 6+ years of software engineering experience with strong proficiency in Go or another compiled language and working knowledge of Python. Candidates must have a track record of leading technical initiatives and mentoring other engineers.
Key Skills: Go, Python, TypeScript, React, GraphQL, Distributed Systems, Kubernetes, ClickHouse, Kafka, PubSub, System Architecture, API Design, MLOps, Software Engineering, Mentoring, Cloud Infrastructure
Benefits: Medical Insurance, Dental Insurance, Vision Insurance, Company-paid Life Insurance, Voluntary Supplemental Life Insurance, Short and Long-term Disability Insurance, Flexible Spending Account, Health Savings Account, Tuition Reimbursement, Employee Stock Purchase Program (ESPP), Mental Wellness Benefits, Family-Forming Support, Paid Parental Leave, Childcare Support, 401(k) with Employer Match, Flexible PTO, Catered Lunch
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