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.