Senior Cloud Engineer Databricks

About Us:

GyanSys is a global mid-tier systems integrator company for over 20 years headquartered in the US with 3000+ employees across 12 countries serving 160+ active enterprise customers across Manufacturing, Industrial, Consumer, Life Sciences and High-Tech industries.

GyanSys provides Digital Transformation services leveraging SAP, Salesforce, Databricks, Snowflake, Application Modernization and various AI projects.

Role: Senior Cloud Engineer – Databricks / MLOps

Location: Bangalore

Experience: 5–8 Years

Tech Stack: Azure | Databricks | AKS | ARO | Terraform | MLflow | CI/CD

We are looking for a Senior Cloud Engineer with strong experience in Azure, Databricks, Kubernetes and MLOps to support ML development teams and drive end-to-end automation for model deployment and operations.

🔹 Key Responsibilities:

• Build and maintain CI/CD/CT pipelines for ML models using Azure DevOps, GitHub Actions or Jenkins
• Develop deployment workflows for Databricks Jobs, MLflow models and microservices
• Deploy and manage workloads on AKS / ARO
• Automate infrastructure using Terraform, scripting and GitOps
• Manage and optimize Azure Databricks workspaces and AKS clusters
• Handle networking and model-serving environments
• Implement monitoring, logging and alerting for ML platforms
• Collaborate with ML Engineers, Data Engineers and Application teams
• Ensure cloud security, governance and cost optimization across MLOps pipelines.

🔹 Required Skills:

✅ Strong hands-on experience with Azure, AKS, ARO & Databricks

✅ Experience with MLflow and Kubernetes-based model deployments

✅ Strong understanding of MLOps / Model Deployment / ML Platforms

✅ Proficiency in Python and Bash / PowerShell

✅ Experience with Terraform, GitOps and CI/CD

✅ Good understanding of Cloud Security, Networking & Distributed Systems

📩 Interested candidates can share their updated resume at:

[email protected]