AI Lead DevOps Engineer
New
Warszawa, -, Kraków, -, Wrocław, -, Poznań, -, Gdańsk, -, Warszawa, Country code: PLFull-TimeLead
Salary25,575 - 29,450 PLN per month
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Job Details
- Languages
- English
- Experience
- 8–10 years
- Required Skills
- Artificial IntelligenceJenkinsMachine LearningDevOpsTerraformGitHub ActionsAzure DevOpsCloudFormationMLOps
Requirements
- 8–10 years of experience in DevOps/Cloud Engineering, with at least 3 years in a technical leadership or architect-level role.
- Deep understanding of the end-to-end ML lifecycle (training, validation, deployment, and retraining loops).
- Mastery across Azure DevOps, GitHub Actions, and Jenkins.
- Expert-level Terraform or CloudFormation skills, including modular architecture and cross-account cloud deployments.
- Significant experience implementing SAST/DAST tools and managing complex IAM/Access Control frameworks in a cloud environment.
- Ability to design custom observability frameworks that track model drift, pipeline failures, and infrastructure ROI.
- Advanced knowledge of configuration management tools like Ansible or Puppet for complex multi-cloud environments.
- Solid understanding of database scaling and security for MySQL, PostgreSQL, and MongoDB.
- Native or C1-level English, with the ability to present technical strategies to senior stakeholders.
Responsibilities
- Provide technical direction for the DevOps squad, defining the CI/CD and MLOps roadmap for the account.
- Implement automated model evaluation pipelines to track accuracy, precision, and recall metrics in production.
- Lead the DevSecOps strategy, ensuring all AI deployments comply with enterprise security standards and global data regulations.
- Architect self-service platforms that allow ML engineers to deploy models with minimal friction while maintaining strict governance guardrails.
- Ensure that every ML experiment is fully auditable through sophisticated pipeline and dataset versioning strategies.
- Mentor senior and junior engineers, driving best practices in automation, IaC, and cloud-native architecture.
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