Azure DevOps Engineer

 DevOps, Cloud Engineering, or related roles  Strong hands-on experience with Microsoft Azure (VMs, App Services, AKS, Storage, Networking, etc.)  Expertise in Azure DevOps (Pipelines, Repos, Boards, Artifacts)  Experience with Infrastructure as Code tools such as ARM, Bicep, or Terraform  Proficiency in scripting (PowerShell, Bash, or Python)  Hands-on experience with containerization and orchestration (Docker, Kubernetes/AKS)  Strong experience with monitoring and logging tools within Azure ecosystem  Good understanding of cloud security, networking, and governance in Azure  Experience in managing production environments and handling escalations 

Azure DevOps Engineer

Experience

5-10 years of hands-on experience in Platform Engineering, Cloud Engineering, SRE, DevOps or Infrastructure Engineering roles.

Priority 1 – Must Have (Hands-On)

Azure Cloud Platform

·        Strong hands-on experience supporting Azure workloads in production environments.

·        Experience designing, building and supporting Azure infrastructure using Terraform.

·        Good understanding of Azure networking and connectivity patterns.

·        Experience supporting:

Ø AKS

Ø Application Gateway

Ø Azure Traffic Manager

Ø Key Vault

Ø Azure Monitor / Log Analytics

Ø Managed Identities

Ø Service Principals

Ø Private Endpoints

Ø VNets, NSGs and Route Tables

Kubernetes / AKS

• Strong practical experience operating and supporting AKS.
• Ability to troubleshoot:

Ø Pod failures

Ø Ingress issues

Ø DNS issues

Ø SSL/TLS certificate issues

Ø Network routing issues

Ø Performance and availability incidents

• Experience with:

Ø Helm

Ø Ingress Controllers

Ø Cluster upgrades

Ø Scaling

Ø Monitoring

Terraform

·        Strong hands-on experience writing and maintaining Terraform.

·        Experience creating reusable modules.

·        Experience managing:

·        State files

·        Remote backends

·        Environment promotion

·        Infrastructure lifecycle

Linux & Scripting

·        Strong Linux administration fundamentals.

·        Practical experience troubleshooting production issues.

·        Bash scripting mandatory.

·        Python desirable.

Application Support / Troubleshooting

Must be comfortable supporting business applications end-to-end.

 Priority 2 – Highly Desirable

GitHub & DevOps Platform

Hands-on experience with:

·        GitHub Enterprise

·        GitHub Actions

·        Shared workflows

·        Reusable pipelines

·        Repository onboarding

·        Branch protections

·        GitHub security features

Experience supporting:

·        Runner issues

·        Disk space issues

·        Network connectivity issues

·        Dependency failures

·        Self-hosted runners lifecycle management

API Management

Pipeline failures

GitOps

Experience with:

·        ArgoCD

·        GitOps deployment models

·        Kubernetes deployment automation

Monitoring & Observability

Experience working with:

·        Prometheus

·        Grafana

·        Azure Monitor

·        Log Analytics

·        Application Insights

We are looking for a hands-on Azure DevOps & Infrastructure Engineer to manage enterprise Azure environments, automate infrastructure, build CI/CD pipelines, and support cloud modernization initiatives.

🔑 Key Responsibilities

• Design, implement & support CI/CD pipelines and deployment automation

• Perform TFS / Azure DevOps Server → Azure DevOps Services migration

• Build & manage Azure infrastructure using Infrastructure as Code (IaC)

• Support Azure cloud infrastructure, networking, security, monitoring & production environments

• Drive cloud migration, application modernization & platform transformation initiatives

• Work with Terraform, containerization, DevSecOps & cloud automation

• Troubleshoot infrastructure/deployment issues and support incident & on-call operations

• Create technical documentation, runbooks and deployment standards

🎯 Mandatory Requirements

✅ AZ-204 – Azure Developer Associate – Mandatory

✅ 5–8 years total IT experience

✅ 3+ years hands-on Azure DevOps / Azure Infrastructure experience

✅ Strong experience in CI/CD & Azure DevOps

✅ Hands-on experience with TFS / Azure DevOps Server to Azure DevOps Services migration

✅ Strong understanding of Azure cloud infrastructure & cloud operations

✅ Experience with IaC, provisioning & infrastructure automation

✅ Exposure to cloud/data migration and application modernization

✅ Experience supporting Azure networking, security & monitoring

✅ Experience in production support / managed services / cloud operations

✅ Willingness to work UK/US shifts and participate in on-call support

⭐ Preferred / Optional

• AZ-400 – Microsoft Certified DevOps Engineer Expert

• AZ-104 – Azure Administrator Associate

• HashiCorp Terraform Associate

• Container platforms, orchestration & DevSecOps experience

🎓 Education: Bachelor's degree in Computer Science / IT / Engineering or related field.

Role: DevOps Infrastructure

Location: Pune

Experience: 8–12 years

Job Summary:

We are looking for an experienced DevOps Infrastructure professional with strong expertise in Microsoft Azure, cloud architecture, automation, and infrastructure engineering.

Key Responsibilities:

• Design and manage scalable, secure Azure infrastructure and platform solutions.
• Implement CI/CD pipelines using Azure DevOps or GitHub Actions.
• Automate infrastructure using Terraform, Bicep, or ARM and scripting with PowerShell/Azure CLI/Python/Bash.
• Work with Azure networking, Entra ID, RBAC/PIM, storage, backup, and disaster recovery.
• Support containerized workloads using Docker and AKS.
• Define cloud standards, governance, reference architectures, and security best practices.
• Implement monitoring, observability, DevSecOps, and policy-as-code practices.
• Collaborate with architecture, security, and application teams on hybrid/multi-cloud initiatives.

Must-Have Skills:

• 3+ years hands-on experience with Microsoft Azure.
• Strong DevOps experience with CI/CD, Git, and Infrastructure as Code.
• 2+ years in infrastructure design, platform engineering, or architecture.
• Strong understanding of Azure Well-Architected Framework, networking, IAM, security, and governance.
• Experience with Azure DevOps, Terraform/Bicep, Docker, and preferably AKS.

Preferred: Azure/Azure DevOps certifications, Terraform, ITIL, CISSP, multi-cloud/hybrid cloud, GitOps, and DevSecOps experience.

Primary (Must Have):

 5-7 years of total experience in IT industry

 Necessary to have exposure to Azure Cloud

 5-7 years of experience Build/Release and DevOps combined for Saas/Web/Desktop applications

 5-7 years working with CI / CD like Jenkins or Bamboo or other tools

 Experience in Kubernetes, Swarm and Docker

 Experience in working with Linux (Centos/Ubuntu)

 Experience with configuration and management tools (i.e. Terraform, Ansible, Salt)

 Experience in architecting, maintaining, and streamlining our automated build and release pipeline from code compilation, automated testing, to deploying releases to multiple environments

 You should be able to drive adoption of CI/CD, deployment automation, and release engineering standard methodologies

 Detail-oriented and great problem solver

 Comfortable giving feedback to team members and handling personal situations

 Excellent at multi-tasking and able to handle competing priorities

 Problem solving, digging into issues and owning tasks to completion

 Strong team player who is open to give and receive feedback

 A passion for technology and thrives in a dynamic environment with a focus on creative innovation over absolute completion

 Communication and presentation skills

Key Responsibilities:            

 Responsible for the continuous and on-time delivery of application releases supporting mission-critical services

 Support and improve our tools for continuous integration (CI) and continuous delivery (CD). You can demonstrate measurable improvements in our delivery pipelines

 Responsible for navigating cloud solutions, on-premise solutions, and hybrid solutions

 Responsible for infrastructure as code (IaC) tooling

 Build automated release pipelines that package, test and deploy code

 Build out and maintain a suitable tracking dashboards and metrics

Job Summary

We are looking for an experienced Azure Cloud / DevOps Engineer with strong hands-on expertise in Azure PaaS services, Azure Kubernetes Service (AKS), and Azure DevOps. The candidate will be responsible for designing, implementing, deploying, and supporting highly available and scalable cloud applications and infrastructure on Microsoft Azure.

The ideal candidate should have strong experience in CI/CD, containerization, Kubernetes, Infrastructure as Code, Azure networking, security, monitoring, and automation.

Key Responsibilities

• Design, deploy, and manage Azure PaaS services including App Services, Azure Functions, Azure Storage, Azure SQL, Key Vault, Service Bus, Event Grid, and related services.
• Design, configure, and administer Azure Kubernetes Service (AKS) clusters.
• Manage Kubernetes workloads, deployments, services, ingress, namespaces, secrets, config maps, and autoscaling.
• Implement and maintain CI/CD pipelines using Azure DevOps.
• Develop and maintain build and release pipelines for application and infrastructure deployments.
• Implement Infrastructure as Code (IaC) using Terraform and/or ARM/Bicep templates.
• Build and manage Docker containers and container registries using Azure Container Registry (ACR).
• Implement deployment strategies such as rolling, blue-green, and canary deployments where required.
• Configure Azure networking components such as VNets, subnets, NSGs, private endpoints, load balancers, Application Gateway, and Azure DNS.
• Implement Azure security best practices including Managed Identity, RBAC, Key Vault, secrets management, and network security.
• Configure monitoring, logging, alerting, and troubleshooting using Azure Monitor, Log Analytics, Application Insights, and Container Insights.
• Automate infrastructure and operational activities using PowerShell, Azure CLI, Bash, or Python.
• Troubleshoot application, container, Kubernetes, pipeline, networking, and Azure infrastructure issues.
• Work closely with development, architecture, security, and operations teams to deliver reliable cloud solutions.
• Participate in production deployments, incident management, root-cause analysis, and performance optimization.

Required Skills

Azure

• Strong hands-on experience with Microsoft Azure.
• Azure PaaS services such as:
• Azure App Service
• Azure Functions
• Azure Storage
• Azure SQL
• Azure Key Vault
• Azure Service Bus
• Azure Event Grid
• Azure API Management
• Good understanding of Azure networking, IAM/RBAC, security, and governance.

AKS / Kubernetes

• Strong hands-on experience with AKS.
• Kubernetes architecture and administration.
• Deployments, Services, Ingress, ConfigMaps, Secrets, Namespaces.
• Helm and Kubernetes manifests.
• Horizontal Pod Autoscaler and cluster autoscaling.
• Container troubleshooting and performance

• 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

Job Title : DevOps Engineer / Site Reliability Engineer (SRE)

Experience : 4+ Years

Location : Gurugram, Sector 48, Haryana (On-site)

Employment Type : Full-Time

Working Days : Monday to Saturday (1st & 3rd Saturday Off)

About the Role :

We are looking for a hands-on DevOps Engineer / Site Reliability Engineer (SRE) with strong experience in Linux, AWS, Kubernetes, Docker, CI/CD, Infrastructure as Code, and production application deployments.

The ideal candidate should have real-world production experience, excellent troubleshooting skills, and the ability to manage both infrastructure and application-level issues.

Mandatory Skills :

Linux, AWS, Docker, Kubernetes, Terraform, Ansible, Jenkins, GitHub Actions, GitLab CI/CD, CI/CD, Infrastructure as Code (IaC), Python, Bash, Git, Grafana, Prometheus, ELK, CloudWatch, New Relic, SRE (SLI/SLO/SLA), Networking (DNS, HTTP/HTTPS, TCP/IP, Load Balancer), Production Application Deployment & Troubleshooting

Key Responsibilities :

• Manage and maintain AWS cloud infrastructure.
• Build and optimize CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI.
• Deploy, monitor, and troubleshoot applications across production environments.
• Automate infrastructure using Terraform and Ansible.
• Manage Docker containers and Kubernetes clusters.
• Monitor systems using Grafana, Prometheus, ELK, CloudWatch, and New Relic.
• Perform Linux server administration and troubleshooting.
• Handle production incidents, Root Cause Analysis (RCA), and improve system reliability.
• Collaborate with development teams to support application releases and automation.

Required Qualifications :

• Bachelor's degree in Computer Science or related field.
• 4+ years of hands-on experience in DevOps / SRE.
• Strong Linux administration and production troubleshooting skills.
• Experience with AWS and modern DevOps toolchains.
• Hands-on experience with application deployment and production support.

What We're Looking For :

• Strong practical Linux and cloud knowledge.
• Real production experience with application deployments.
• Ability to troubleshoot both infrastructure and application issues.
• Experience handling live production incidents.
• Excellent communication and problem-solving skills.
• Candidates should be comfortable with scenario-based technical discussions and demonstrate genuine hands-on expertise.

Interview Process :

1. HR Screening
2. Technical Round
3. Client Technical Round
4. Final Discussion

Note : The interview will focus on practical hands-on experience in Linux, AWS, Kubernetes, Docker, CI/CD, Infrastructure as Code, application deployment, production troubleshooting, and real-world DevOps scenarios.

We are seeking a skilled and experienced Senior DevOps Engineer to join our team. As a Senior DevOps Engineer, you will play a crucial role in designing, implementing, and managing our cloud infrastructure on AWS, while utilizing Docker, Kubernetes, Terraform and Argo CD for containerization and deployment. You will collaborate closely with development teams to ensure smooth software releases, scalability, and reliability of our systems. Also, you will be working on Airflow and Spark configurations for Data pipelines.

Responsibilities:

• Design, implement, and maintain scalable and secure cloud infrastructure on AWS, utilizing services such as EC2, S3, VPC, IAM, and Lambda.
• Build, deploy, and manage containerized applications using Docker and Kubernetes.
• Develop and maintain CI/CD pipelines to enable continuous integration, automated testing, and deployment using tools like Jenkins, GitLab CI/CD, or AWS CodePipeline.
• Implement and manage infrastructure as code (IaC) using tools like Terraform or CloudFormation to automate the provisioning and configuration of AWS resources.
• Monitor and troubleshoot infrastructure and application issues, ensuring high availability, performance, and scalability of the system.
• Collaborate with development teams to ensure smooth and efficient software releases, including version control, branching strategies, and release management.
• Implement and maintain robust security practices, including access control, network security, and data encryption.
• Automate manual tasks and processes using scripting languages (e.g., Python, Bash) and configuration management tools (e.g., Ansible).
• Collaborate with cross-functional teams to gather requirements, provide technical guidance, and implement best practices for infrastructure and deployment processes.
• Stay up-to-date with the latest DevOps tools, technologies, and best practices, and identify opportunities for improvement and optimization in our infrastructure and processes.

Requirements:

• Bachelor’s or master’s degree in computer science, Software Engineering, or a related field.
• Proven experience as a DevOps Engineer, with a focus on AWS, Docker, Kubernetes, and Argo CD.
• Strong experience in designing, implementing, and managing cloud infrastructure on AWS, including services like EC2, S3, VPC, IAM, and Lambda.
• Hands-on experience with containerization technologies, specifically Docker and Kubernetes.
• Proficiency in CI/CD pipeline setup and management using tools like Jenkins, GitLab CI/CD, or AWS CodePipeline.
• Solid understanding of infrastructure as code (IaC) principles and experience with tools like Terraform or CloudFormation.
• Experience in monitoring and troubleshooting complex infrastructure and application issues.
• Strong scripting and automation skills using languages such as Python, Bash, or PowerShell.
• Excellent problem-solving and analytical skills, with the ability to handle and prioritize multiple tasks in a fast-paced environment.
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.

Preferred Qualifications:

• AWS certifications, such as AWS Certified DevOps Engineer or AWS Certified Solutions Architect.
• Experience with infrastructure monitoring and logging tools like CloudWatch, ELK stack, or Prometheus/Grafana.
• Knowledge of serverless architectures and experience with AWS Lambda.
• Familiarity with other cloud platforms (e.g., Azure, Google Cloud Platform).
• Understanding of security best practices and experience implementing security measures in cloud infrastructure.

🚀 Job Title : DevOps Engineer / Site Reliability Engineer (SRE)

Experience Level : 4+ Years

Location : Gurugram Sector 48, Haryana (On-site)

Employment Type : Full Time Opportunity

About the Role :

We are looking for a proactive DevOps / Site Reliability Engineer (SRE) with around 4 years of hands-on experience designing, automating, and scaling cloud infrastructure and CI/CD delivery pipelines.

In this role, you will bridge the gap between development and operations. You will be responsible for orchestrating containerized applications, automating infrastructure via Code (IaC), establishing SRE best practices (SLIs, SLOs, SLAs), and ensuring maximum uptime, resiliency, and operational efficiency across multi-cloud environments (AWS/Azure/GCP).

Mandatory Skills :

AWS, Kubernetes, Docker, Terraform, Ansible, Jenkins, GitLab CI/CD, GitHub Actions, Python, Bash, CI/CD, Infrastructure as Code (IaC), Grafana, Prometheus, ELK, New Relic, CloudWatch, SRE, SLI/SLO/SLA, Linux

Key Responsibilities :

1. Cloud Infrastructure & Infrastructure as Code (IaC) :

• Provision, configure, and maintain scalable, high-availability infrastructure on multi-cloud platforms, primarily AWS (EC2, VPC, IAM, S3, RDS, Route53, ALB/ASG, Lambda, EBS).
• Build, deploy, and manage Infrastructure as Code (IaC) using Terraform, Ansible, and CloudFormation to enforce consistency and eliminate configuration drift.
• Execute disaster recovery (DR) planning, automated failover / failback mechanisms, and chaos engineering exercises to validate system resiliency.

2. CI/CD, Automation & Development :

• Design, end-to-end maintain, and optimize robust CI/CD pipelines using Jenkins, GitLab CI, and GitHub Actions.
• Automate release pipelines, versioning, branching strategies, and approval gates using Groovy, Python, and Bash scripting. Integrate automated code quality and security scanning tools (SonarQube, Black Duck, or Fortify) directly into delivery pipelines.
• Develop custom tools, scripts, or microservices (e.g., Python / Node.js) to automate manual operational tasks and operational toil.

3. Containerization & Orchestration :

• Onboard and orchestrate containerized microservices utilizing Docker and Kubernetes (including Helm charts).
• Ensure high availability, auto-scaling, resource management, and fault tolerance for Kubernetes pod deployments.

4. Observability, SRE & Incident Management :

• Drive Site Reliability Engineering (SRE) maturity by establishing, tracking, and reporting SLIs, SLOs, and SLAs with cross-functional engineering teams.
• Build, configure, and manage full-stack observability tools : Grafana, Prometheus, New Relic, Elasticsearch / Logstash / Kibana (ELK), Sentry, and AWS CloudWatch.
• Set up real-time alerting, custom metric dashboards, and automated log rotation / pruning scripts.
• Handle production incidents, lead Root Cause Analysis (RCA) investigations, and implement preventive measures to reduce Mean Time to Resolution (MTTR).

Required Qualifications & Skills :

• Education : Bachelor’s Degree in Electronics and Communication Engineering, Computer Science, or a related technical field.
• Experience : ~4 years of experience in DevOps, SRE, or Cloud System Administration roles.
• Cloud & Infrastructure : Hands-on experience with AWS (Core services like EC2, S3, VPC, RDS, IAM, Lambda, Auto Scaling) and exposure to Azure / GCP.
• CI/CD & Version Control : Proficiency with Jenkins, GitLab CI, GitHub Actions, and Git workflows.
• Containerization : Core proficiency in Docker and Kubernetes cluster management / onboarding.
• Infrastructure as Code : Expertise in Ansible, Terraform, or AWS CloudFormation.
• Scripting & Languages : Strong hands-on automation skills with Python, Bash, and foundational knowledge of Node.js, Java or C++.
• Observability & Logging : Strong experience with Grafana, Prometheus, New Relic, ELK stack, or Splunk.
• Database & SQL : Familiarity with relational databases (MySQL, RDS) for monitoring setup and operational analytics.