Devops Engineer

Description:

We have an exciting opening for a DevOps Engineer. The ideal candidate is a highly motivated, creative and versatile individual who will be responsible for automating, monitoring and optimizing MARZ’s Machine Learning cloud solutions and platform.

In this role, you would:

• Design, implement, and maintain CI/CD pipelines for building, testing, and deploying software applications and services.
• Automate infrastructure provisioning, configuration management, and deployment using tools such as Terraform, Ansible, Puppet, or Chef.
• Monitor system performance, availability, and security using monitoring tools like Prometheus, Grafana, ELK stack, or Datadog.
• Implement best practices for version control, code review, and collaboration using tools like Git, GitHub, GitLab, or Bitbucket.
• Containerize applications using Docker and orchestrate containerized workloads using Kubernetes, Docker Swarm, or similar platforms.
• Manage cloud infrastructure on platforms such as AWS, Azure, or Google Cloud, including compute, storage, networking, and security services.
• Collaborate with development teams to troubleshoot issues, optimize performance, and improve reliability in production environments.
• Implement security best practices, including access control, encryption, vulnerability management, and compliance requirements.
• Participate in on-call rotations and incident response activities to ensure the availability and uptime of critical systems.
• Continuously evaluate and adopt new technologies, tools, and methodologies to improve efficiency, scalability, and resilience.