Description

  • Design and manage cloud infrastructure to ensure high availability, scalability, and resilience.
  • Design & Develop CICD pipelines, champion best practices around release management and architect development tooling that fuels entire engineering solution in Cloud.
  • (Optional) Certified Azure Cloud Professional
  • Experience in platforms supporting Data Engineering and AI based solutions.
  • Strong collaboration and team skills, along with outstanding communication to lead the platform setup for the Production.
  • Highly skilled in Data sources integrations is nice to have.
  • Experienced in Enterprise DevOps practices.

 

Experience/Skillset

  • Cloud Expertise ( Azure Cloud Focus): Hands-on experience with Azure Cloud services, Azure Data Lake, Azure Databricks, Azure Networking, Storage, Insights, Key Vault, Synapse Analytics, Azure Data factory, Kafka, Service Bus.

•              Containerization & Orchestration: Strong Kubernetes & Docker background with a track record of managing container-based workloads.

•              Infrastructure as a Code: In-depth Terraform knowledge for provisioning and configuring cloud infrastructure.

•              CI/CD & Release Management: Experience in large-scale build/release engineering environments with strong CI/CD principles. GitHub, Azure DevOps, Jfrog, SonarQube.

•              Security Best Practices & Tooling: Demonstrated ability to implement security across cloud infrastructure using tools for vulnerability scanning, secret management, and continuous monitoring.

•              Observability & Monitoring: Experienced with platform like Dynatrace, Azure Insights, Prisma Cloud.

•              System Administration and Integration Expert: administering, maintaining and integrating severs, networks, external connections and setup

Education

Any Gradute