Azure DevOps - Work From Office - Bangalore

Key Responsibilities

Azure Infrastructure: Deploy, configure, and manage Azure IaaS and PaaS services, including Virtual Machines, Virtual Networks, Network Security Groups, Azure Firewall, VPN/ExpressRoute gateways, storage, App Services, and Azure SQL.

Azure Landing Zones: Implement and maintain landing zones aligned with the Microsoft Cloud Adoption Framework, including management groups, subscriptions, RBAC, Azure Policy, and resource tagging.

Cloud Migration: Execute on-premises-to-Azure migrations using Azure Migrate, Azure Site Recovery (ASR), and database migration tools.

Identity and Access Management: Manage Microsoft Entra ID integrations, Entra Connect, Conditional Access, Privileged Identity Management (PIM), and managed identities.

Backup and Disaster Recovery: Configure and manage Azure Backup, Azure Site Recovery, monitoring, and disaster recovery solutions.

L2 Support and Incident Management: Resolve infrastructure incidents and service requests within agreed SLAs, perform root-cause analysis, and escalate complex issues to L3 teams with detailed diagnostics.

Cloud Security: Apply security baselines using Microsoft Defender for Cloud and implement secure-score recommendations.

Automation and Infrastructure as Code: Automate routine tasks using PowerShell and Azure CLI, and work with ARM templates, Bicep, or Terraform.

Cost Optimization: Monitor Azure consumption, optimize resource utilization, and prepare monthly cloud usage and cost reports.

Technical Documentation: Prepare low-level designs, operational runbooks, as-built documentation, and project handover documents.

Presales Support: Assist with effort estimation, technical solution inputs, and proof-of-concept implementations.

Required Skills and Qualifications

3–5 years of hands-on experience in Microsoft Azure infrastructure.

At least 2 years of experience in customer-facing consulting or managed services environments.

Strong working knowledge of Azure networking, compute, storage, and identity services.

Practical experience delivering at least one end-to-end Azure migration or landing zone deployment.

Good understanding of Windows Server, Active Directory, DNS, and DHCP.

Hands-on scripting experience with PowerShell.

Working knowledge of Bicep, ARM templates, or Terraform.

Familiarity with ITIL processes and ticketing tools such as ServiceNow, Jira Service Management, Freshservice, or similar platforms.

Strong written and verbal English communication skills, with the ability to interact with customer IT teams.

Certifications

Mandatory

Microsoft Certified: Azure Administrator Associate (AZ-104).

Preferred

Microsoft Certified: Azure Solutions Architect Expert (AZ-305).

Microsoft Certified: Azure Security Engineer Associate (AZ-500).

Microsoft Certified: Azure Network Engineer Associate (AZ-700).

Good to Have

Experience with Azure Virtual Desktop deployment and image management.

Exposure to Microsoft Sentinel or Microsoft Defender XDR.

Experience supporting UAE government or semi-government customers.

Arabic language proficiency.

Candidate Requirements

Currently based in the UAE with a valid residence visa, or able to transfer the visa without delay.

Available to join immediately or within 15 days.

A valid UAE driving licence is preferred for customer site visits.

Willing to work at customer premises and support occasional after-hours change windows

Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).

3+ years of hands-on experience with Microsoft Azure, including IaaS, PaaS, networking, identity (Entra ID), and governance services.

2+ years of experience with DevOps tooling and practices, including CI/CD pipelines (Azure DevOps or GitHub Actions), Infrastructure as Code (Terraform, Bicep, or ARM), and version control (Git).

2+ years' experience in infrastructure design, platform engineering, or architecture.

Strong proficiency with automation and scripting — PowerShell, Azure CLI, Python, or Bash.

Solid understanding of containerisation (Docker) and familiarity with orchestration platforms (Azure Kubernetes Service).

Deep understanding of cloud architecture, deployment patterns, and management best practices, including the Azure Well-Architected Framework.

Experience defining standards, governance frameworks, and reference architectures for cloud platform consumption.

Strong knowledge of networking concepts, storage configurations, virtualisation technologies, and disaster recovery/backup design for hybrid environments.

Experience with Azure DevOps (Repos, Pipelines, Boards, Artifacts) or equivalent platforms.

Familiarity with identity and access management (IAM), including Entra ID, RBAC, PIM.

Strong understanding of security, compliance requirements, and IT governance frameworks (ITIL, COBIT, or similar).

Preferred

Experience: 4+ Years 

Job Title: DevOps Engineer / Cloud Engineer 

Job Summary 

We are looking for an experienced DevOps & Cloud Engineer with 4+ years of experience in cloud infrastructure management, Kubernetes administration, CI/CD pipeline automation, and containerization. The ideal candidate should have hands-on experience with Azure cloud services, Azure Kubernetes Service (AKS), Azure DevOps, Jenkins, Docker, Terraform, and infrastructure automation. 

The candidate will be responsible for managing cloud environments, automating application deployments, maintaining Kubernetes clusters, monitoring system performance, and ensuring the reliability, scalability, security, and availability of applications across development, testing, and production environments. 

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. 

Preferred Skills 

• Azure Arc-enabled Kubernetes. 
• VMware Tanzu Kubernetes Grid (TKG). 
• Kubernetes Service Mesh, Ingress Controllers, and Horizontal Pod Autoscaling (HPA). 
• 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. 

Qualifications 

• Bachelor’s degree in Engineering (B.E.) or an equivalent qualification. 
• 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. 

• Strong hands-on experience in Microsoft Azure Cloud.
• Good understanding of Azure services such as Compute, Storage, Event Hub, Event Subscription, Storage Queue, and PaaS services.
• Basic understanding of Azure AI Foundry and AI-related Azure service setup.
• Good Azure networking basics: VNet, subnet, routing, and basic troubleshooting.
• Strong knowledge of Terraform, especially:
• Terraform state
• plan / apply
• troubleshooting failures
• migration risks
• Terraform Enterprise concepts
• Strong Python coding capability, not just basic scripting.
• Experience using Python for API integration, automation, JSON/YAML handling, and internal tooling.
• Good understanding of CI/CD pipelines.
• Ability to troubleshoot pipeline failures.
• Comfortable with YAML and JSON.
• Ability to troubleshoot Azure infrastructure/platform issues.
• Ability to collect logs/evidence and coordinate with network/app/Microsoft support teams.
• Basic awareness of agentic AI / LLM concepts.
• Awareness of security and cost best practices.

Good to Have Skills

• Hands-on experience with Harness.
• Hands-on experience with Terraform Enterprise.
• Exposure to LangGraph / LangChain.
• Exposure to agentic AI workflows or skill creation.
• Exposure to Claude or enterprise LLM integrations.
• Knowledge of Azure ML Workspace, model registry, and managed endpoints.
• MLOps / LLMOps knowledge.
• FinOps / Azure cost optimization experience.
• Azure certifications: AZ-104, AZ-305, AZ-400, AZ-500.

Screening Priority:

Azure Cloud + Terraform + Python Coding + CI/CD Troubleshooting + YAML/JSON + Basic Agentic AI Awareness

🚀 Hiring: Senior Azure Platform Engineer | Azure | Terraform | Kubernetes

📍 Location: India

💼 Employment: Full-Time | Long-Term

🎯 Experience: 10+ Years | 8+ Years Hands-on Azure

🔑 What We’re Looking For

▪️ Strong expertise in Azure Cloud Platform & Landing Zone Architecture

▪️ Advanced hands-on experience with Terraform & reusable IaC modules

▪️ Expertise in Kubernetes, Helm & container platforms

▪️ Strong understanding of Azure Networking, Entra ID, RBAC & Azure Policy

▪️ Experience with GitHub, GitHub Actions / Azure Pipelines & CI/CD

▪️ Hands-on GitOps & ArgoCD experience

▪️ Strong observability skills with Prometheus, Grafana & Azure Monitor

▪️ Experience designing and supporting microservices architectures

▪️ Knowledge of security, policy-as-code and IaC security scanning

▪️ Exposure to Azure Arc / Azure Local / Azure Stack HCI is a plus

We are seeking a highly skilled Senior DevOps Engineer with 8+ years of professional experience to join our team. In this role, you will design, implement, and optimize cloud infrastructure and CI/CD processes.

You will collaborate closely with development, QA, and operations teams to deliver scalable, secure, automated, and reliable solutions on AWS.

The ideal candidate will have strong hands-on experience with AWS, Terraform, Git/GitHub, Jenkins, PowerShell, Python, AWS Systems Manager (SSM) Documents, and Active Directory (AD) administration, along with a passion for automation, efficiency, and operational excellence.

Key Responsibilities

• Design, build, and maintain scalable cloud infrastructure on AWS.
• Develop and manage Infrastructure as Code (IaC) using Terraform.
• Build, maintain, and optimize CI/CD pipelines using Jenkins and GitHub.
• Use AWS Systems Manager (SSM) to support operational automation and system administration.
• Automate system tasks and administrative workflows using PowerShell and other scripting languages.
• Create, maintain, and execute custom SSM Documents for configuration management, patching, automation, and troubleshooting.
• Manage and administer Active Directory (AD), including users, groups, permissions, policies, authentication, and integration with AWS services.
• Implement and manage version-control workflows in Git and GitHub.
• Ensure infrastructure and deployment processes follow best practices for security, reliability, scalability, and cost optimization.
• Monitor and troubleshoot production systems to ensure high availability, performance, and reliability.
• Collaborate with development teams to improve software delivery processes and release management.
• Mentor junior engineers and contribute to the development of DevOps standards and best practices.

Required Skills and Experience

• 8+ years of professional experience, including at least 4 years in DevOps or Site Reliability Engineering (SRE) roles.
• Strong hands-on experience with AWS services, including EC2, VPC, IAM, S3, EKS, Lambda, and related services.
• Proven expertise in Terraform for Infrastructure as Code.
• Experience administering both Linux and Windows operating systems.
• Experience designing and managing CI/CD pipelines using Jenkins and GitHub.
• Proficiency with Git workflows and source-code management best practices.
• Strong PowerShell scripting skills; familiarity with Python and/or Bash is a plus.
• Experience with AWS Systems Manager (SSM), including creating and managing SSM Documents.
• Hands-on experience managing Active Directory, including users, groups, policies, authentication, permissions, and AWS integration.
• Solid understanding of cloud networking, security, monitoring, and troubleshooting.
• Excellent problem-solving, communication, collaboration, and decision-making skills.

Nice-to-Have Skills

• Experience with containerization and orchestration technologies, such as Docker, Kubernetes, and Amazon EKS.
• Knowledge of monitoring and observability tools, such as Amazon CloudWatch, New Relic, and Sumo Logic.
• An AWS certification, such as AWS Certified DevOps Engineer – Professional or AWS Certified Solutions Architect.

Who You Are

• You are eager to learn new technologies and continuously improve your skills.
• You make sound decisions and take ownership of your work.
• You are proactive, self-motivated, and comfortable taking initiative.
• You are a strong communicator who enjoys collaborating with cross-functional teams.
• You are committed to improving processes, automation, reliability, and operational efficiency.

Job Description: DevOps Engineer – Terraform + GCP

Experience: 5+ Years

Locations: Bangalore / Hyderabad

Key Responsibilities:

• Set up, configure, and manage cloud infrastructure on Google Cloud Platform (GCP).
• Develop and maintain Infrastructure as Code (IaC) using Terraform.
• Handle infrastructure provisioning, deployment, and configuration management.
• Perform product installation, setup, configuration, and environment readiness.
• Manage GCP services, compute instances, networking, storage, and access permissions.
• Troubleshoot infrastructure, installation, and deployment-related issues.
• Automate infrastructure provisioning and repetitive operational tasks using scripts.
• Monitor infrastructure performance, availability, and reliability.
• Collaborate with development and operations teams to support deployments and production environments.

Mandatory Skills:

• Hands-on experience with Terraform.
• Strong experience with Google Cloud Platform (GCP).
• Infrastructure setup and provisioning.
• Product installation and configuration.
• Cloud infrastructure troubleshooting.

Preferred Skills:

• Linux administration and shell scripting.
• CI/CD tools and deployment automation.
• Cloud monitoring and logging.
• Infrastructure maintenance and operational support.

Required Experience: 5+ years in DevOps / Cloud Infrastructure.

Build production-grade cloud infrastructure that powers enterprise applications with cutting-edge DevOps practices.

What you'll do:

• Design CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI)
• Containerize apps with Docker, deploy on Kubernetes clusters
• Manage infrastructure as code (Terraform, CloudFormation)
• Set up monitoring (Prometheus, Grafana, ELK Stack)
• Cloud migrations (AWS EC2, EKS, RDS → GCP equivalent)
• Optimize costs and performance for live production systems

What we need:

• Basic Python/Bash scripting
• Docker basics, Git workflows
• Cloud exposure (AWS/GCP/Azure free tier projects)
• Problem-solving mindset, eagerness to learn

Real impact:

• Deploy apps used by 1000+ daily users
• Work with senior DevOps engineers on client deliverables
• Build portfolio for FAANG-level interviews

Job Description

The engineer will provide direct support to service development teams using the platform and maintain/develop platform components across CI pipelines, tool integrations, deployment architecture, monitoring, documentation, and self-service initiatives.

Responsibilities

• Support onboarding and technical discussions with development teams.
• Provide technical guidance and documentation.
• Support development engineers on CI/CD pipelines, deployments, logging and monitoring.
• Improve platform code, processes and documentation.
• Provide production infrastructure/operations support, including on-call support.
• Research product requirements and new technology rollouts.

Core Mandatory Skills

Kubernetes / Amazon EKS, Terraform, Terragrunt, AWS Cloud, Docker, CI/CD Pipelines, GitOps, Python / Go / Java, Cloud Operations / DevOps, Logging / Monitoring / Tracing, Incident Management

Job Title: DevOps Manager

Experience: 8+ Years

Location: Pune

Employment Type: Full-time

About the Role

We are looking for an experienced DevOps Manager with strong hands-on technical expertise and leadership capabilities to manage cloud infrastructure, automation, CI/CD, deployments, and platform reliability. The ideal candidate should have strong experience in Shell Scripting, cloud platforms, Kubernetes, Terraform, and production DevOps environments.

Key Responsibilities

• Lead and mentor the DevOps engineering team.

• Design, implement, and optimize CI/CD pipelines and deployment processes.

• Manage scalable and highly available cloud infrastructure across AWS / Azure / GCP.

• Drive Infrastructure as Code (IaC) using Terraform and configuration automation using Ansible.

• Manage Docker and Kubernetes based environments.

• Develop and maintain automation scripts using Shell/Bash Scripting and Python.

• Implement monitoring, logging, alerting, and observability.

• Handle production incidents, troubleshooting, root cause analysis, and preventive actions.

• Drive infrastructure security, performance, scalability, and cloud cost optimization.

• Collaborate with Development, QA, Security, Architecture, and Delivery teams.

Required Skills & Qualifications

• 8+ years of experience in DevOps, Cloud Engineering, Platform Engineering, or related roles.

• Strong hands-on experience in Shell / Bash Scripting.

• Experience with AWS / Azure / GCP cloud platforms.

• Strong knowledge of CI/CD tools such as Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps.

• Hands-on experience with Docker, Kubernetes, and Helm.

• Strong experience with Terraform and Ansible.

• Experience with Linux administration, Git, networking, IAM, and cloud security.

• Experience with monitoring tools such as Prometheus, Grafana, ELK, or equivalent.

• Strong troubleshooting, communication, stakeholder management, and team leadership skills.

Preferred Skills (Nice to Have)

• Python scripting experience.

• Cloud / Kubernetes / Terraform certifications.

• Experience with SRE, observability, high-availability architecture, and cloud cost optimization.