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Posted 06 July, 2026

Senior Cloud Engineer

Tranzeal Inc.
Bengaluru, Karnataka, IN Full Time
Reference: 26-00647-1238-1

  • Job Title: Senior Cloud Engineer
  • Experience Required: 5–8 years
  • Salary : 21.5 LPA
  • Work Location: International Tech Park (ITPL), ITPL Main Road, Pattandur Agrahara, Whitefield, Bengaluru, Karnataka 560066.


    Please note that candidate should work from AMAT office Bangalore once selected. 4 days WFO is mandate.



    Basic Screening Questionnaire:

    1) Focused on building and evaluating enterprise-scale agentic AI systems.
    2) The candidate would assess, prototype, and recommend platforms including Azure AI Foundry, AWS Bedrock/AgentCore, Google Cloud Gemini, Databricks AgentBricks, and TrueFoundry for production adoption.
    3) Experience with LLM-based systems — agent workflows, RAG pipelines, and enterprise AI applications

    JD
    Experience Required: 5–8 years
    Tech Stack: Azure | Databricks | AKS | ARO | Terraform | MLflow | CI/CD
    Role Summary
    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 platforms.
    Key Responsibilities
    • Build and maintain CI/CD/CT pipelines for ML models using Azure DevOps / GitHub Actions/Jenkins
    • Develop and manage deployment workflows for:
    o Databricks Jobs
    o MLflow models
    o Microservices running on AKS / ARO
    • Automate infrastructure using Terraform, scripting, and GitOps practices
    • Manage and optimize:
    o Databricks workspaces
    o AKS clusters
    o Networking and model serving environments
    • Implement monitoring, logging, and alerting 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
    • Strong 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



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