ML Devops Engineer

My client, a successful quantitative investment manager, is looking for a Senior DevOps engineer to join their ML ops team and to implement testing, development, automation tools, and IT infrastructure for the ML platform team and its users. They are looking for a senior with 10+ years of experience and proficient in AWS and Terraform.

Key Responsibilities:

• Implement testing, development, automation tools, and IT infrastructures for the ML Platform team and its users.
• CI/CD tools, handling configuration management.
• Define and establish processes for testing, development, release, updates, and support in DevOps operations.
• Drive continuous improvement by building pipelines for integration, development, and deployment.
• Implement and maintain monitoring systems.
• Maintain and enhance the team's cloud infrastructure.
• Promote and implement automation processes.
• Enhance security protocols by conducting vulnerability assessments and risk management to deploy cybersecurity measures.

Technical

• Proficient in Terraform and AWS.
• Solid experience with CI/CD, ideally with GitLab CI and Jenkins.
• Extensive experience using Docker and managing large-scale Docker images within an organization.
• Skilled in setting up and maintaining monitoring systems.
• Deep familiarity with UNIX-based systems.

Work methodology

• Experience with Agile, emphasizing flexibility and pragmatism over strict adherence.