Manager DevOps - Azure Databricks
Hyderabad, TS, India
Blend360
Blend360 co-creates value with leading companies through the integration of data, advanced analytics, technology & people. Get in touch with us today.Company Description
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com
Job Description
We are seeking a proactive and skilled Manager DevOps to design, implement, and maintain robust CI/CD pipelines and cloud infrastructure on Microsoft Azure. This role is essential to support the scalable, secure, and reliable deployment of AI services, including those built on platforms like Azure Databricks. You will collaborate closely with engineering, data science, and cloud teams to drive automation, performance, and system resilience.
Key Responsibilities
Build and manage scalable, repeatable infrastructure using Terraform (IaC) across environments.
Design cloud environments for performance, availability, and cost optimization using Azure best practices.
Deploy infrastructure to support AI services and data pipelines on Azure and Databricks.
Design, implement, and maintain CI/CD pipelines for microservices and AI workflows.
Automate deployment processes using tools like Azure DevOps, GitHub Actions, or equivalent.
Integrate quality gates, security checks, and automated testing into pipelines.
Package and deploy containerized applications using Docker and Azure Container Apps.
Manage images in Azure Container Registry (ACR) and orchestrate secure image lifecycle management.
Leverage Azure Key Vault, Blob Storage, and Service Bus for secure and scalable operations
Implement and manage Azure Monitor for logging, telemetry, and proactive alerting.
Ensure system reliability through effective monitoring, logging, and incident response setups
.Maintain compliance and governance policies across environments.
Qualifications
8+ years of hands-on experience in DevOps, Site Reliability Engineering, or Cloud Infrastructure roles.
Strong expertise in Azure cloud services, Terraform, and Docker.
Solid understanding of CI/CD tools and practices.
Experience with Azure Databricks and deployment of AI/ML workloads.
Proficient in scripting languages such as Bash, PowerShell, or Python.
Familiarity with security, compliance, and cost-optimization best practices in Azure.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure CI/CD Databricks Data pipelines DevOps Docker Engineering GitHub Machine Learning Microservices Pipelines Python Security Terraform Testing
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