NorthBay is a leading AWS Premier Partner, is seeking a highly skilled Lead DevOps / MLOps Engineer (Azure, Terraform) to join their growing cloud and AI engineering team. This role is ideal for candidates with a strong foundation in cloud DevOps practices and a passion for implementing MLOps solutions at scale.
Key Responsibilities:
- Design, implement, and manage CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Azure DevOps
- Develop and maintain Infrastructure-as-Code using Terraform
- Manage container orchestration environments using Kubernetes
- Ensure cloud infrastructure is optimized, secure, and monitored effectively
- Collaborate with data science teams to support ML model deployment and operationalization
- Implement MLOps best practices, including model versioning, deployment strategies (e.g., blue-green), monitoring (data drift, concept drift), and experiment tracking (e.g., MLflow)
- Build and maintain automated ML pipelines to streamline model lifecycle management
Required Skills:
- 3–7 years of experience in DevOps and/or MLOps roles
- Proficient in CI/CD tools: Jenkins, GitHub Actions, Azure DevOps
- Strong expertise in Terraform and cloud-native infrastructure (AWS preferred)
- Hands-on experience with Kubernetes, Docker, and microservices
- Solid understanding of cloud networking, security, and monitoring
- Scripting proficiency in Bash and Python
Preferred Skills:
- Experience with MLflow, TFX, Kubeflow, or SageMaker Pipelines
- Knowledge of model performance monitoring and ML system reliability
- Familiarity with AWS MLOps stack or equivalent tools on Azure/GCP