Senior DevOps Engineer
15 hours ago
Position: Senior DevOps Engineer
Experience Level: 8+ years
About Us: Celebal Technologies is a leading Solution Service company that provide Services the field of Data Science, Big Data, Enterprise Cloud & Automation. We are at the forefront of leveraging cuttingedge technologies to drive innovation and enhance our business processes. As part of our commitment to staying ahead in the industry, we are seeking a talented and experienced Data & AI Engineer with strong Azure cloud competencies to join our dynamic team.
Job Summary: We are looking for a highly skilled Senior DevOps Engineer with deep expertise in Azure cloud and strong hands-on experience with Databricks. The role involves designing, implementing, and optimizing DevOps processes, ensuring seamless CI/CD, automation, and infrastructure scalability to support data and AI-driven projects.
Key Responsibilities
• Design, implement, and maintain CI/CD pipelines for applications and data platforms.
• Deploy, manage, and optimize Azure infrastructure using IaC (Terraform/ARM/Bicep).
• Automate provisioning, monitoring, and scaling of Databricks clusters and jobs.
• Collaborate with data engineering and ML teams to streamline MLOps and DataOps workflows.
• Manage Azure DevOps/GitHub Actions/Jenkins pipelines for code deployments.
• Implement logging, monitoring, and alerting solutions (App Insights, Log Analytics, Prometheus, Grafana, etc.).
• Drive cost optimization and performance tuning across cloud and Databricks environments.
• Ensure best practices in security, compliance, and governance within Azure and Databricks.
• Mentor junior engineers and actively contribute to DevOps strategy and roadmap.
Key Skills:
• 8+ years of experience in DevOps, Cloud, and Infrastructure automation.
• Strong hands-on expertise in Microsoft Azure (AKS, ADF, Storage, Key Vault, Networking, Security, etc.).
• Proven experience in Databricks administration and automation (cluster management, job orchestration, integration with Azure services).
• Proficiency with Infrastructure as Code (Terraform, ARM, Bicep).
• Strong scripting skills (Python, PowerShell, Bash).
• Solid experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins).
• Expertise in Docker, Kubernetes (AKS preferred) for containerized workloads.
• Familiarity with monitoring & logging tools (Azure Monitor, ELK, Prometheus, Grafana).
• Strong understanding of networking, security, and compliance practices in Azure
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