Senior DevOps Engineer

5 days ago


Pittsburgh, Pennsylvania, United States Jobot Consulting Full time
About the Role

We are seeking a highly skilled and innovative Senior DevOps Engineer to join our dynamic team at Jobot Consulting. As a key member of our team, you will be responsible for designing, building, and managing the software delivery pipeline for our AI/ML projects, leveraging your expertise in Azure and other cloud platforms.

Key Responsibilities
  • Design and Implement CI/CD Pipelines: Develop and implement Continuous Integration/Continuous Deployment (CI/CD) pipelines for AI/ML projects, ensuring efficient and scalable deployment of AI/ML models.
  • MLOps Practices: Develop and implement MLOps practices to improve the speed, efficiency, and quality of our AI/ML deployments, utilizing Azure, Kubernetes, and other cloud technologies.
  • Cloud Infrastructure Management: Develop Infrastructure as Code (IaC) using Terraform or equivalent tools to automate the provisioning and management of our cloud resources, ensuring scalability and reliability.
  • Collaboration and Communication: Collaborate with cross-functional teams to understand their needs and translate them into technical requirements, ensuring effective communication and project delivery.
  • GenAI Architectural Solutions: Implement GenAI Architectural Solutions and Generative AI to enhance our AI/ML capabilities, staying up-to-date with the latest industry trends and technologies.
  • Troubleshooting and Support: Troubleshoot and resolve issues related to the CI/CD pipeline, cloud infrastructure, and AI/ML deployments, ensuring minimal downtime and optimal performance.
Requirements
  • Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Experience: At least 3 years of experience in a DevOps role, preferably with a focus on MLOps, and proven experience with Azure, Kubernetes, and other cloud technologies.
  • Skills: Strong experience with Infrastructure as Code (IaC) using Terraform or equivalent tools, and experience with GenAI Architectural Solutions and Generative AI is a plus.
  • Soft Skills: Excellent problem-solving skills, strong communication skills, and the ability to work effectively in a fast-paced, dynamic environment.


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