Role Description
Who we are:
At UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our client to co-create lasting change. Together, with over 30,000 employees in 30+ countries, we build for boundless impact—touching billions of lives in the process. Visit us at .
Job Description
We are looking for a seasoned cloud engineer to support ML development teams and drive end to end automation for model deployment and operations across Azure, Databricks, and Kubernetes platform.
Key Responsibilities
• Build and maintain CI/CD/CT pipelines for ML models using Azure DevOps / GitHub Actions/Jenkins
• Develop and manage deployment workflows for:
• Databricks Jobs
• MLflow models
• Microservices running on AKS / ARO
• Automate infrastructure using Terraform, scripting, and GitOps practices
• Manage and optimize:
• Databricks workspaces
• AKS clusters
• Networking and model serving environments
• Implement monitoring, logging,
and ing for ML systems and platform reliability
• Collaborate closely with ML engineers, data engineers, and application teams
• Ensure security best practices, governance, and cost optimization across MLOps pipelines
Required Skills
• Solid hands on experience with Azure, AKS, ARO and Databricks
• Solid experience with MLflow, Kubernetes based model deployments
• Proficiency in Python and Bash / PowerShell
• Good understanding of cloud security, networking, and distributed systems
What We Believe
We’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone, to champion diversity and inclusion and to place people at the centre of everything we do.
Humility
We will listen, learn, be empathetic and help selflessly in our interactions with everyone.
📌 Senior Cloud Engineer (Bengaluru)
🏢 UST
📍 Bengaluru