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Cloud Engineer
Cloud Engineer

Cloud Engineer at Improving · Remote only · 5 - 8 years · ₹15L - ₹32L / yr · Raised funding · Remote only · Posted 11 Nov 2026

Improving's logo

Cloud Engineer

Leena Lahari's profile picture
Posted by Leena Lahari
5 - 8 yrs
₹15L - ₹32L / yr
Remote only
Skills
Microsoft Windows Azure
databricks
Terraform
Artificial Intelligence (AI)
Azure OpenAI
Model Context Protocol (MCP)
DevOps
CI/CD
skill iconGitHub

Summary -

  • We are looking for a Cloud Infrastructure Engineer to build and operate the Azure foundation for our AI workloads and serve as the working bridge between the Cloud Infrastructure and Data teams. You will own Terraform-driven Azure infrastructure, DevOps pipelines, and hands-on platform components, including Azure AI Foundry, Model Context Protocol (MCP) servers, and Databricks.

Responsibilities -

  • Build and maintain Azure infrastructure as code with Terraform, including reusable modules and multi-environment patterns.
  • Provision and operate Azure AI Foundry hubs and projects, including model deployments, data connections, and identity and network configuration.
  • Design and secure MCP servers that expose internal tools and data to AI agents.
  • Partner with the Data team to deploy and configure Databricks workspaces, including VNet injection, private endpoints, Entra ID integration, and Unity Catalog.
  • Own CI/CD pipelines in Azure DevOps or GitHub Actions for infrastructure and AI platform deployments.
  • Enforce guardrails for AI workloads, including Key Vault secrets management, managed identities, and network isolation.
  • Monitor platform health, reliability, and cost with Azure Monitor and Log Analytics.
  • Triage cross-team platform requests, document reference patterns, and remove blockers between Cloud and Data teams.\

Requirements -

  • 4 to 8 years of experience in cloud infrastructure or platform engineering.
  • Strong hands-on Azure experience, including networking, Entra ID, RBAC, and managed identities.
  • Advanced Terraform skills, including module design and state management.
  • Working knowledge of DevOps practices, CI/CD, and Git-based workflows.
  • Working knowledge of Azure AI Foundry or Azure OpenAI, including access control and network integration.
  • Practical understanding of MCP and the security considerations for connecting AI agents to enterprise systems.
  • Hands-on Databricks platform experience, including workspace deployment, Unity Catalog, and cluster configuration.
  • Scripting skills in Python, PowerShell, or Bash.
  • Experience working within SOC 2 Type II or similar control frameworks.

Preferred Qualifications -

  • Experience with RAG architectures or Azure AI Search.
  • Experience with GPU capacity and quota planning in Azure.


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About Improving

Founded :
2006
Type :
Services
Size :
1000-5000
Stage :
Raised funding

About

Improving is a leading IT professional services firm committed to helping companies achieve lasting success through modern technology. With core expertise in AI, Data, and Applications, we specialize in transforming legacy systems, building cloud-native platforms, and delivering intelligent, future-ready solutions for today’s complex business needs. Improving’s leaders are equally committed to fostering a great place to work that is inclusive and purpose-centered, empowering Improvers to bring their whole selves to work. Our team is known for its collaborative approach and long-term partnerships that prioritize measurable outcomes. By combining technical excellence with strategic insight, Improving enables all stakeholders to grow, adapt, and lead in an ever-evolving digital landscape.

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Tech stack

skill iconGo Programming (Golang)
DevOps
Quality Assurance
skill iconJava
dotnet
skill iconKubernetes
skill iconDocker
Ansible
Terraform

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Key Responsibilities 

  • Design, deploy, and manage cloud infrastructure using Microsoft Azure services, including Virtual Machines, Virtual Networks, Storage Accounts, Load Balancers, Key Vaults, and Resource Groups. 
  • Manage and administer Azure Kubernetes Service (AKS), Azure Arc-enabled Kubernetes, and Kubernetes clusters. 
  • Develop, configure, and maintain CI/CD pipelines using Azure DevOps and Jenkins for automated application builds, testing, and deployments. 
  • Containerize applications using Docker and deploy microservices-based applications on Kubernetes. 
  • Manage Kubernetes resources, including Pods, Deployments, StatefulSets, Services, Ingress, ConfigMaps, Secrets, and Namespaces. 
  • Automate infrastructure provisioning and configuration management using Terraform, Ansible, and Infrastructure as Code (IaC) practices. 
  • Implement Kubernetes networking, load balancing, Role-Based Access Control (RBAC), autoscaling, and resource optimization. 
  • Monitor infrastructure and application performance using Prometheus and Grafana. 
  • Troubleshoot application, deployment, networking, container, and infrastructure-related issues and perform root cause analysis. 
  • Implement disaster recovery procedures, backup validation, failover testing, patch management, and environment upgrades. 
  • Manage source code repositories, branching strategies, pull requests, code merges, and version control using Git, GitHub, and Azure Repos. 
  • Maintain cloud infrastructure security, compliance, governance, high availability, and operational reliability. 
  • Collaborate with development, infrastructure, and security teams to implement DevOps best practices and improve deployment efficiency. 

Mandatory Technical Skills 

  1. Cloud Platforms: Microsoft Azure, Azure Virtual Machines, Virtual Networks, Storage Accounts, Load Balancers, Key Vaults. 
  2. Containerization & Orchestration: Docker, Kubernetes, Azure Kubernetes Service (AKS). 
  3. CI/CD & Automation: Azure DevOps, Jenkins, CI/CD pipeline development and maintenance. 
  4. Infrastructure as Code: Terraform; exposure to Ansible and automated configuration management. 
  5. Monitoring & Version Control: Prometheus, Grafana, Git, GitHub, Azure Repos. 

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  • VMware Tanzu Kubernetes Grid (TKG). 
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  • RHEL Linux administration and Shell Scripting. 
  • Groovy scripting and SQL fundamentals. 
  • Disaster recovery, incident management, and production support. 
  • Experience supporting microservices architectures and application migration activities. 

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  • 4+ years of experience in DevOps engineering, cloud infrastructure, Kubernetes administration, and deployment automation. 
  • Strong troubleshooting, analytical, and problem-solving skills. 
  • Ability to work collaboratively with cross-functional teams and manage infrastructure-related incidents. 

Key Deliverables 

  • Reliable, scalable, and secure cloud infrastructure. 
  • Automated and efficient CI/CD pipelines. 
  • Stable Kubernetes clusters and containerized application deployments. 
  • Reduced infrastructure provisioning and deployment time through automation. 
  • Effective monitoring, incident resolution, and disaster recovery readiness. 

 

Read more
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Shubham Vishwakarma

Full Stack Developer - Averlon
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