​Role: Senior Software Engineer - MLOps

Salary: up to $110,000

Office Location: 100% fully remote

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About the role:

• Design, build, and maintain high-reliability backend systems that scale to millions of RPS

• Responsible for building ML infrastructure.

• Helping turn models into real-life applications.

• Work with queue-driven and event-driven designs, REST APIs, serverless and microservice architectures, and multi-cloud/multi-CDN environments using Kubernetes and other orchestrators.

• Write Python, JS/TS, and Rust, as necessary to solve business goals.

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Experience Required

• Python programming experience is preferred, although C & C++ are fine (you will be trained in Python)

• Experience building and maintaining large-scale production systems with a focus on performance, scalability, and reliability.

• Experience with orchestration platforms: Kubernetes, containerization, and microservice design.

• Experience with cloud platforms either AWS, Azure or GCP is fine.
  

If you are interested in this position, please apply and we can discuss the next steps.