Senior CloudOps Engineer

Precision Medicine Group
Summary
Join Precision Medicine Group as a Senior CloudOps Engineer and lead the infrastructure setup and automation efforts for our Azure AI Services. You will collaborate with development teams and stakeholders to streamline processes, improve communication, and foster a DevOps culture. Responsibilities include designing and developing automated infrastructure deployment pipelines, optimizing existing infrastructure, and working with vendors to maintain high performance. You will also create documentation, research new automation technologies, and prepare effort estimates. This role requires a Bachelor's degree in engineering or technology (computer science preferred), along with extensive experience in Azure cloud services, AI tools, and Agile development methodologies. The ideal candidate will have experience with AWS and Python.
Requirements
- Bachelorβs degree in engineering (B.E.) or in Technology (B. Tech.)
- Experience building and managing infra for Azure Open AI services
- Experience building and managing AI Studio
- 4+ years developing and implementing cloud infrastructure and building pipelines
- 5+ years of experience with information technology
- Experience working with various software development tools, open-source technologies, and Azure cloud services
- Experience setting up various Azure tools and services β network, security, computes etc
- Experience working with a team following Agile software development lifecycle practices
- Experience working with GitLab, Azure DevOps, Jira or similar systems for software development lifecycle management, source control, branching, and/or CI/CD pipelines
- Understanding of concepts and tooling for containerization and orchestration (i.e. Docker, Kubernetes)
- Agile software development experience
Responsibilities
- Collaborate with development and other cross-functional teams to create and maintain Infrastructure and related documents for platforms, products, and client specific solutions enabled by AI tools
- Design and develop tools for managing and applying automated infrastructure setup and deployment pipelines (CI/CD)
- Improve and Optimize existing infrastructure based on metrics and analytics derived from past implementations, and by working with Corporate IT CloudOps teams
- Work with their managers to maintain cost efficiency and work on Cost Optimization whenever possible
- Work with Azure/vendors/IT to perform WAFR, and take necessary action to keep he score high
- Configures and maintains all components of the Infrastructure (primarily Azure)
- Follows established procedures for change management across applications where changes are necessary
- Creates documentation such as WIKI articles for common processes that are repeated and can be shared with others
- Researches and makes recommendations regarding new automation technology available and its proper application
- Prepares effort estimates for any work undertaken
Preferred Qualifications
- Degree in computer science or related fields preferred
- Working knowledge of US Healthcare / Market Access would be an advantage
- Experience with both AWS and Azure applications and services β S3/Blob, Ec2/VM etc
- Knowledge of Python, Shell
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