DevOps Engineer - Lead
DevOps Engineer - Lead
Posted on :
06-06-2025
Employer Active
1 Vacancy
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Job Description
We are seeking a highly skilled Lead Azure DevOps Engineer to join our team and drive the end-to-end deployment scalability and operationalization of machine learning models in production. You will collaborate closely with data scientists data engineers and DevOps teams to ensure seamless CI/CD reproducibility monitoring and governance of ML pipelines
Key Responsibilities
- Design implement and maintain CI/CD pipelines for deploying and monitoring microservices efficiently.
- Manage infrastructure as code using Terraform for repeatable and scalable provisioning.
- Deploy and optimize containerized applications using Docker and Azure services (Container Apps Container Registry Key Vault Service Bus Blob Storage).
- Apply best practices for securing Docker images including vulnerability scanning reducing image size and optimizing build efficiency.
- Implement and maintain Azure Monitor for logging monitoring and alerting to ensure system reliability.
- Ensure security best practices across cloud environments including secrets management access control and compliance.
- (Nice to have) Design and manage multi-client architectures within shared pipelines and storage accounts in Azure Blob Storage
Qualifications :
- 6 years of experience in DevOps or MLOps with a strong focus on production-grade ML solutions.
- Strong expertise in Azure particularly with CI/CD container orchestration and cloud security. Proficiency in Terraform for infrastructure automation.
- Deep understanding of Docker including best practices for securing optimizing and managing images.
- Experience with Azure Monitor for centralized logging monitoring and alerting. Strong knowledge of microservices architecture and best practices for scalable deployments.
- Experience in security best practices including secrets management and role-based access.
Additional Information :
Preferred Qualifications
- Experience with Databricks particularly for ML workflows and data engineering.
- Experience deploying securing and managing vector databases Hands-on experience with MLFlow for model tracking and deployment.
- Best practices for multi-client architecture in shared pipelines and storage.
- Python experience for microservices development if interested in contributing to application
- Docker Compose for local development and multi-container applications
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
Key Skills
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