DataOps Engineer (Data & AI, Data Operations Team)

Role Overview

Join our Data Operations Team as a DataOps Engineer and play a key role in building a cutting-edge ML Platform on Google Cloud from the ground up.

What You Will Do

Managing and optimizing ML workflows, integrating CI/CD pipelines, monitoring and automating model performance, defining and managing cloud infrastructure, and more.

Why It Might Be a Fit

Have good knowledge of Google Cloud Platform, Linux environments, containers, and container orchestration solutions (Kubernetes), experience with at least one programming language, and solid understanding of best practices around software development and CI/CD.

Requirements

• Good knowledge of Google Cloud Platform, Linux environments, containers, and container orchestration solutions (Kubernetes)
• Experience with at least one programming language (Python, Java, Ruby, PHP, etc), Shell scripting, and regular expressions
• Solid understanding of best practices around software development, release engineering, and CI/CD
• Good understanding of networking, operating systems, automation, distributed computing, high availability, and load balancing concepts

Benefits

• Medical subscription: Medicover, MedLife or Regina Maria
• Access to the Bookster library and free credits on the Hilio psycho-emotional health platform
• Accelerated learning environment with access to online resources and platforms

Tagged as: Python