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 DescriptionWe 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.
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.
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What We Do
Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology and analytics.
Blend360 has two divisions:
Data Science Solutions: We work at the intersection of data, technology and analytics.
Talent Solutions: We live and breathe the digital and talent marketplace.
