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About People Prime Worldwide :
Our mission is to enable clients to transform through consulting, industry solutions, business process services, digital & IT modernization and managed services. We empower them to move confidently into the digital future. Our team combines global reach with local client attention to serve them in over 50 countries around the globe.
We are seeking a highly skilled Azure AI ML Site Reliability Engineer to join our team. This role will focus on designing, implementing, and deploying cloud-based solutions using Azure infrastructure, Databricks, Terraform, and other relevant technologies.
The ideal candidate will have experience working with cross-functional teams to drive innovation and growth. Strong knowledge of Site Reliability Engineering (SRE) principles, Databricks, and Terraform is required.
Key Responsibilities :
- Collaborate with cross-functional teams to design, implement, and deploy cloud-based solutions.
- Develop and maintain DevOps pipelines to ensure efficient and reliable deployment of applications.
- Ensure high availability and performance of cloud-based systems by identifying and resolving technical issues proactively.
- Work closely with development teams to integrate new features and capabilities into existing systems.
Requirements :
- 6-8 years of experience with SRE with strong knowledge of Databricks and Terraform.
- 3+ years of experience with Azure infrastructure (storage, Keyvault, networking, security, IAM).
- 2+ years of experience with Databricks (including Unity Catalog). A minimum of one year of extensive work with Databricks is required.
- 2+ years of experience with Terraform. A minimum of one year of extensive work with Terraform is required.
- Knowledge of Azure AI services/LLM.
- Experience with SQL.
- Experience with DevOps pipelines is a plus.
