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About the Role

We are seeking a highly skilled DevOps Engineer to join our team at DataArt Solutions, Inc. as a key member of our Advanced Analytics management team.

Key Responsibilities
  • Collaborate with our ML Engineers team to design, develop, and deploy Machine Learning models into production using ML pipelines.
  • Implement DevOps SRE metrics to ensure the quality, security, and compliance of our products.
  • Administer and monitor team platforms, ensuring the correct operation of our applications.
  • Responsible for the infrastructure and its proper functioning, ensuring scalability and reliability.
  • Promote a technical culture driving data products with DevOps, SRE, and MLOps principles.
Requirements
  • Experience working with GCP cloud services (mandatory).
  • Experience with Python programming language.
  • Experience working in UNIX/LINUX environments.
  • Experience creating CI/CD pipelines.
  • Experience working with Docker containerization.
  • Experience in GIT version control.
  • Intermediate/advanced oral and written English communication skills.
  • Excellent collaboration and communication skills.
Nice to Have
  • Experience in work environments as Software Engineer, DevOps Engineer, SRE, or ML Engineer.
  • Experience designing and implementing automated tests.
  • Experience in observability and monitoring.
  • Understanding of the complete life cycle of Machine Learning models.
  • Experience in infrastructure as code, preferably with Terraform.
  • Experience with Jenkins automation tool.
  • Agility to visualize possible improvements, problems, and solutions in Architecture.
  • Experience with monitoring tools such as Grafana, Datadog, Nagios.
  • Deploying, managing, and scaling AI models and applications in production environments using DevOps principles.