DevOps Engineer 239442

As a DevOps Engineer, you will be responsible for building, maintaining, and improving the infrastructure, automation processes, and development environments that enable our ML teams to innovate and deliver at scale.

Responsibilities

• Support and maintain DevOps processes and Jenkins-based workflows.

• Design, maintain, and improve CI/CD pipelines for automated data acquisition systems, development environments, and production platforms.

• Develop, maintain, and optimize Docker-based environments and containerized applications.

• Manage and support Kubernetes environments and container orchestration platforms.

• Collaborate closely with algorithm and ML teams to improve development efficiency and operational reliability.

• Support Linux-based environments and infrastructure-related activities.

• Maintain and enhance automated data acquisition systems, data collection processes, and workflow automation.

• Continuously improve infrastructure performance, scalability, and reliability.

• Gradually develop deep knowledge of memory systems and related technologies.

Requirements

• B.Sc. in Computer Science, Software Engineering, or equivalent professional experience.

• 4+ years of hands-on DevOps experience.

• 4+ years of experience developing software and automation scripts using Python.

• Experience with CI/CD tools and methodologies, including Jenkins and GitLab .

• Experience working with Docker containers and containerization technologies.

• Hands-on experience with Kubernetes administration, deployment, and orchestration.

• Familiarity with Git source control and version management practices.

• Strong problem-solving, communication, and collaboration skills.

• Fast learner with a proactive, positive, and team-oriented mindset.

Advantages

• Experience with Bash scripting.

• Strong knowledge of Linux and Windows operating systems.

• Experience with MLOps frameworks and ML infrastructure.

• Experience working with NoSQL databases (e.g., MongoDB) and PostgreSQL.

• Familiarity with cloud environments and infrastructure automation.

• Experience supporting large-scale development and production environments.