We are seeking a skilled Azure DevOps Engineer with hands-on experience in Terraform, Kubernetes, and cloud-native data architecture to help build and maintain scalable infrastructure in Microsoft Azure. This role is focused on automating infrastructure provisioning, deploying containerized applications, and building a secure and efficient cloud data lake environment to support large-scale data ingestion, storage, and processing.

Key Responsibilities:

• Design, implement, and maintain CI/CD pipelines using Azure DevOps.

• Manage and provision cloud infrastructure using Terraform (Infrastructure as Code).

• Deploy and manage Kubernetes clusters (AKS) and containerized workloads.

• Work with data engineering teams to design and implement a cloud-based data lake architecture on Azure.

• Automate data pipeline deployments and integrations using Azure services (eg, Data Factory, Synapse, Databricks).

• Ensure high availability, scalability, and security across cloud environments.

• Monitor infrastructure performance and implement logging, monitoring, and alerting solutions (Azure Monitor, Log Analytics).

• Collaborate with cross-functional teams to deliver DevOps best practices and cloud-native solutions.

Required Skills & Qualifications:

• 3+ years of experience in DevOps or Cloud Engineering roles.

• Strong proficiency with Terraform and managing IaC deployments.

• Experience managing Kubernetes (AKS preferred) in production environments.

• Experience designing or supporting a cloud-based data lake (Azure Data Lake Gen2, Blob Storage, etc.).

• Proficient in Scripting languages such as PowerShell, Bash, or Python.

• Experience with CI/CD tools, especially Azure DevOps Pipelines.

• Familiarity with Azure services: Data Factory, Synapse Analytics, Databricks, Key Vault, Event Hub.

• Understanding of security best practices and compliance in cloud environments.

• Excellent troubleshooting, analytical, and communication skills.