Senior MLOps Engineer

Your responsibilities:

• Design and maintain MLOps infrastructure and solutions

• Implement architectural best practices

• Conduct PoCs and evaluate new technologies

• Break down technical tasks and identify dependencies

• Ensure security compliance and lead SRA/DCR processes

• Support security audits and remediation

• Monitor and optimize cloud infrastructure costs

• Prepare budget plans and financial reports

We are looking for you, if you have:

• 4+ years of experience in Python, Git, Linux, Docker, Kubernetes

• Strong knowledge of cloud platforms (preferably AWS)

• Experience with CI/CD tools (GitLab CI, ArgoCD)

• Familiarity with IaC tools (Terraform, Ansible, CloudFormation)

• Hands-on with monitoring tools (Grafana, ELK, Datadog)

• 1+ year in MLOps tools (MLflow, Kubeflow, SageMaker)

• Understanding of ML fundamentals and model lifecycle

• Experience with security processes (SRA, DCR)

• FinOps experience in managing cloud costs

• Good communication and collaboration skills

• English at B2 level or higher

We offer:

• Participation in interesting and challenging projects

• Flexible working hours

• A great, non-corporate atmosphere

• Stable employment conditions (contract of employment or B2B contract)

• Opportunities for development and promotion

• Attractive package of benefits

• Remote work

We reserve the right to contact the selected candidates.