DevJobs

DevOps Engineer

Overview
Skills
  • Bash Bash ꞏ 3y
  • Python Python ꞏ 3y
  • Linux Linux ꞏ 3y
  • Git Git ꞏ 3y
  • AWS AWS ꞏ 3y
  • Docker Docker ꞏ 3y
  • Kubernetes Kubernetes ꞏ 3y
  • Helm ꞏ 3y
  • Ansible Ansible ꞏ 3y
  • Terraform Terraform ꞏ 3y
  • Grafana Grafana
  • GitLab CI ꞏ 3y
  • ML pipelines
  • MLOps
  • Prometheus Prometheus
  • ELK stack
  • AI
DeepCube, the AI division of Nano Dimension, is seeking a talented and motivated DevOps Engineer to join our dynamic team. We're revolutionizing how manufacturers extract value from their big data, driving Industry 4.0 forward with our cutting-edge industrial AI solutions.

Responsibilities:

  • Develop, implement, and maintain CI/CD pipelines for various projects.
  • Collaborate with software engineers to ensure that development follows established processes and works as intended.
  • Automate and optimize our on-prem and cloud infrastructure using tools such as Docker, Kubernetes, Ansible, and Terraform.
  • Monitor and manage system performance, reliability, and security.
  • Troubleshoot and resolve issues in development, test, and production environments.
  • Document and manage configuration changes and workflows.
  • Enhance system observability with comprehensive logging and monitoring.

Requirements:

  • Bachelor’s degree in Computer Science, Engineering, or related field experience.
  • 3+ years of experience in a DevOps or similar role.
  • Proficiency with cloud platforms such as AWS.
  • Strong experience with containerization and orchestration tools (Docker, Kubernetes).
  • Hands-on with infrastructure as code methodology (IaC) using Git, Terraform, Ansible & Helm.
  • Experience with CI/CD tools (GitLab CI).
  • Solid understanding of networking, security best practices, and system architecture.
  • Strong scripting skills (Bash, Python).
  • Extensive knowledge of Linux server environments
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills and ability to work collaboratively in a team environment.

Preferred Qualifications:

  • Experience with AI/ML pipelines and MLOps.
  • Familiarity with additive manufacturing or related industrial automation technologies
  • Knowledge of monitoring and logging tools (Prometheus, Grafana, ELK stack).

Location: Tel Aviv

How to Apply:

If you are passionate about AI-driven manufacturing and meet the above qualifications, we would love to hear from you! Please submit your resume and a cover letter detailing your experience and why you would be a great fit for this role.

Offer:

What We Offer:

  • Competitive salary and benefits package.
  • Opportunity to work with cutting-edge AI and ML technologies.
  • A dynamic and collaborative work environment.
  • Career growth and development opportunities within a fast-growing company.
Nano Dimension