Job Url: https://www.remoterocketship.com/company/northbaysolutions-3/jobs/azure-devops-engineer-lead-united-states-remote Job Description: NorthBay Solutions Website LinkedIn All Job Openings NorthBay Solutions is a fast-growing AWS-focused consulting firm that specializes in cloud migration, AI & machine learning, data lake and analytics solutions, and managed services. With over ten years of experience and AWS competency certifications, they navigate the complexities of modern cloud infrastructures to help businesses achieve their goals effectively. NorthBay Solutions provides tailored strategies for cloud application development, DevOps enablement, and data modernization, ensuring robust support for various industries such as healthcare, finance, and education. Mobile, Cloud Big Data and Web Application Development β€’ Software Product Development β€’ Big Data & Analytics β€’ Artificial Intelligence β€’ Data Lake 201 - 500 employees Founded 2007 πŸ€– Artificial Intelligence ☁️ SaaS Azure DevOps Engineer - Lead 6 hours ago πŸ‡ΊπŸ‡Έ United States – Remote ⏳ Contract/Temporary 🟠 Senior β›‘ DevOps & Site Reliability Engineer (SRE) AWS Azure Cloud Docker Google Cloud Platform Java Jenkins Kubernetes Microservices Python Terraform Web3 .NET Apply Now Receive Emails with Similar Jobs Report problem πŸ“‹ Description β€’ Design, implement, and manage CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Azure DevOps β€’ Develop and maintain Infrastructure-as-Code using Terraform β€’ Manage container orchestration environments using Kubernetes β€’ Ensure cloud infrastructure is optimized, secure, and monitored effectively β€’ Collaborate with data science teams to support ML model deployment and operationalization β€’ Implement MLOps best practices , including model versioning, deployment strategies (e.g., blue-green), monitoring (data drift, concept drift), and experiment tracking (e.g., MLflow) β€’ Build and maintain automated ML pipelines to streamline model lifecycle management 🎯 Requirements β€’ 3–7 years of experience in DevOps and/or MLOps roles β€’ Proficient in CI/CD tools : Jenkins, GitHub Actions, Azure DevOps β€’ Strong expertise in Terraform and cloud-native infrastructure (AWS preferred) β€’ Hands-on experience with Kubernetes , Docker, and microservices β€’ Solid understanding of cloud networking, security, and monitoring β€’ Scripting proficiency in Bash and Python Apply Now