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High-Reliability System Architect

1 tydzień temu


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About the Role

We are looking for a High-Reliability System Architect to join our team at Intuition Machines, Inc. as an ML Ops Engineer. The successful candidate will have 4+ years of experience in building and maintaining large-scale production systems, with a strong focus on performance, scalability, and reliability.

Key Responsibilities
  1. Design and develop high-reliability systems and pipelines that scale to millions of RPS on large volumes of data.
  2. Ensure observability, automation, reliability, scalability, continuous integration, and security across multiple business domains in a platform-oriented way.
  3. Collaborate with other ML developers from multiple teams to integrate their work within our infrastructure.
  4. Participate in code reviews, take part in architecture and design sessions.
  5. Stay up-to-date with recent developments in relevant technologies and assess their applicability.
Requirements
  • 4+ years of professional experience building and maintaining large-scale production systems with a focus on performance, scalability, and reliability.
  • Significant experience coding and developing in Python.
  • A person who enjoys improving existing code and infrastructure.
  • Experience with orchestration platforms: Kubernetes, containerization, and microservice design; event-driven model for workflow orchestration, monorepo-scale CI/CD, and testing.
  • Experience with database systems (SQL, NoSQL), distributed systems and architectures, and stream processing (preferably ClickHouse and Redpanda).
  • Familiarity with machine learning fundamentals such as data preparation, model training, model evaluation, and model inference.