DevOps Engineer (Azure

Job Title : DevOps Engineer

Experience : 7+ Years

Working Hours : 3:30 AM – 11:30 AM ET

Duration : 12–18 Months

Engagement : Contract

Freelance : Not Applicable

BGV : Required

Role Overview :

We are looking for an experienced DevOps Engineer to design, implement, and optimize DevOps practices, CI/CD pipelines, deployment automation, and cloud-native delivery platforms. The role will focus on enabling secure, reliable, and efficient software delivery while improving infrastructure automation, release processes, platform reliability, and operational resilience.

Mandatory Skills :

DevOps, CI/CD, Azure DevOps / GitHub Actions, Kubernetes, Docker, PowerShell / Python / Bash, Automation, Monitoring & Observability, DevSecOps, IaC, Troubleshooting, and Production Support.

Key Responsibilities :

• Design, build, and maintain CI/CD pipelines for enterprise application delivery and release management.
• Develop deployment automation frameworks to improve release quality, consistency, scalability, and efficiency.
• Administer Kubernetes and containerized environments and supporting orchestration platforms.
• Improve build, test, deployment, and release workflows for development teams.
• Integrate automated testing, security scanning, validation, and compliance controls into CI/CD pipelines.
• Implement monitoring, logging, alerting, and observability solutions for platform and application environments.
• Troubleshoot deployment failures, production issues, and platform incidents; perform root cause analysis.
• Develop automation scripts and tools using PowerShell, Python, Bash, or similar technologies.
• Implement Infrastructure as Code and automation practices to reduce manual effort and operational risk.
• Collaborate with Cloud, Infrastructure, Security, and Application teams to deliver scalable and resilient solutions.
• Maintain deployment standards, release procedures, technical documentation, and operational runbooks.
• Apply DevOps, DevSecOps, and SRE best practices to improve delivery speed and platform reliability.
• Evaluate emerging DevOps technologies and recommend improvements.
• Mentor team members on DevOps methodologies, automation, and platform engineering practices.
• Act as an escalation point for critical deployment, infrastructure, and platform issues.

Required Technical Skills :

1. DevOps & CI/CD :

• 7+ years of experience in DevOps, Platform Engineering, Infrastructure Engineering, or Software Engineering.
• Strong experience designing and supporting CI/CD pipelines and release management.
• Hands-on experience with Azure DevOps, GitHub, GitHub Actions, or equivalent platforms.
• Strong understanding of Git, branching strategies, release management, and deployment methodologies.

2. Containers & Cloud :

• Strong hands-on experience with Kubernetes and Docker/containerization.
• Understanding of cloud-native application architectures and distributed systems.
• Experience supporting production-grade containerized environments.

3. Automation & IaC :

• Strong proficiency in PowerShell, Python, Bash, or similar scripting languages.
• Experience developing automation frameworks and deployment tooling.
• Knowledge of Infrastructure as Code (IaC) concepts.
• Experience with Terraform, Bicep, or similar tools is preferred.

4. Monitoring & Reliability :

• Experience with monitoring, logging, observability, and alerting.
• Strong troubleshooting and root cause analysis skills.
• Experience supporting highly available and resilient production systems.
• Knowledge of SRE practices is preferred.

5. Security & DevSecOps :

• Understanding of DevSecOps and secure software delivery practices.
• Experience integrating vulnerability scanning, security controls, and compliance checks into CI/CD pipelines.
• Knowledge of IAM, secrets management, and access control within DevOps environments.

Preferred Qualifications :

• Hands-on experience with Microsoft Azure.
• Experience with Terraform/Bicep or other IaC tools.
• Knowledge of SRE and platform engineering practices.
• Relevant Azure, Kubernetes, Cloud, or DevOps certifications.

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

• 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

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

 Job Description:

• Job title : Senior DevOps Engineer (On-Premises Automation)        
• Experience: 8+ years
• Location: Chennai / Pune / Hyderabad / Bangalore
• Shift: UK Shift
• Work Mode: Onsite (WFO)

Roles and Responsibilities:

• This engagement automates end-to-end infrastructure build provisioning across on-prem and Azure. The team will build a shared ServiceNow-led intake, approval, orchestration, and closed-loop status model, using Jenkins/Ansible for on-prem builds and Azure DevOps/Terraform for cloud builds. Automation includes standards, security/compliance controls, scan gates, CMDB/change updates, and handover.              

Key Responsibilities:

• Lead secure and repeatable on-prem build provisioning pipelines
• Lead Jenkins CI/CD for automated on-prem provisioning and configuration.
• Create pipeline templates for VM/physical host, OS deployment, configuration, certification, and rollback.
• Embed hardened-image validation, scan gates, secrets handling, approvals, and audit evidence.
• Lead Ansible roles, PowerShell modules, test automation, and code reviews.
• Implement logging, monitoring, and root-cause analysis; support UAT and hypercare.       

Required Qualifications:

• 8–10 years in DevOps, platform engineering, or infrastructure automation.
• Bachelor’s degree or equivalent experience.
• Jenkins
• Git, CI/CD
• Ansible, PowerShell
• Python, IaC
• security scanning, secrets management
• Windows/Linux.

Devops + Python 

Mandatory: Python+Kubernetes Containerisation+ DevOps Exposure+ Cloud Exposure(any)

4-8 years /16 LPA

10+ years /26 LPA

Bangalore/Hyderabad

immediate to 15 days.

Key Responsibilities

• Automate application deployments from Bitbucket to servers using CI/CD pipelines.
• Design and manage scalable, highly available AWS infrastructure.
• Implement Auto Scaling, ELB, and Route 53 for traffic management and high availability.
• Work with AWS services including IAM, RDS, DynamoDB, EC2, and other cloud services.
• Build and manage Docker containers and server images.
• Deploy and manage applications using Kubernetes.
• Implement Infrastructure as Code using Terraform, CloudFormation, or Ansible.
• Develop automation scripts using Python and Bash.
• Implement monitoring and logging using tools such as Prometheus, Grafana, and ELK.
• Integrate security and compliance practices into CI/CD pipelines.
• Optimize infrastructure for security, scalability, performance, and cost.

Required Skills

• 3+ years of experience in DevOps or a similar role.
• Strong knowledge of AWS beyond EC2.
• Hands-on experience with Jenkins or similar CI/CD tools.
• Experience with Docker and Kubernetes.
• Good understanding of Terraform/IaC and automation.
• Proficiency in Python and/or Bash scripting.
• Knowledge of DevSecOps, security, and compliance best practices.
• Strong troubleshooting and problem-solving skills.

Work Mode: WORK FROM OFFICE

Interview Mode: Virtual

Role Descriptions:

Exp Range: 5 - 8 years

City Locations: Bengaluru

*Key Responsibilities*

Devops Developer (Azure)

Azure L2 Support | Specialist | Infrastructure Operations-260006F2- Certificate & DNS Management- Monitoring & Observability- Azure Operations & Compliance- Migration: Open Cloud TnC- Reliability & Operations Excellence (OPS)

Profile – 5 to 8+ years in Cloud/Infrastructure Operations- Strong hands-on Azure skills- Certificates/PKI experience- DNS management- Grafana| Health Checks| Azure Monitor- IaC automation (Terraform/Bicep)- Networking fundamentals Nice-to-Have- Azure security and compliance- AKS monitoring basics- FinOps practices- French reading proficiency- Certifications: AZ-104| AZ-305| etc.

Desire candidate

• Candidate should have valid PF.

Company Overview:

Planview is hiring a DevOps Engineer in Bengaluru, India to support Planview SaaS applications across the product line. You will work in a global, collaborative team — owning CI/CD pipelines, cloud infrastructure, and automation to keep deployments fast and systems reliable.

Responsibilities

• Build and maintain CI/CD pipelines in Jenkins for reliable, fast delivery.
• Manage containerized workloads on Docker and ECS — task definitions, services, and clusters.
• Provision and manage AWS infrastructure using Terraform (CloudFormation a plus).
• Automate configuration and deployment tasks using Python (Ansible a plus).
• Set up and maintain monitoring and alerting via New Relic (CloudWatch, Datadog, or Prometheus/Grafana a plus).
• Write Shell and Python scripts to automate operations and reduce manual work.
• Manage Git workflows — branching, merge strategies, and pull request reviews.
• Administer and support MSSQL databases underpinning the product line — backups, restores, and basic performance troubleshooting.
• Troubleshoot deployment, performance, and infrastructure issues with development teams.
• Participate in on-call rotations and drive incident response.
• Continuously improve infrastructure resilience and deployment speed.
• Apply AI-assisted engineering tools (e.g., GitHub Copilot, Claude Code) to speed up IaC authoring, pipeline debugging, and day-to-day scripting.

Qualifications

Must-Have Skills

• Experience: 4–6 years of experience in DevOps, SRE, or Infrastructure Engineering.
• OS: Windows administration (systemd, package management, log analysis).
• Cloud: AWS (Active Directory, ECS, EC2, CloudFront, S3, VPC, IAM, RDS, Lambda basics).
• Source Control: Git — branching, merge/rebase, PR reviews.
• CI/CD (Jenkins): Pipeline creation and basic Groovy scripting.
• Containerization (Docker + ECS): Task definitions, services, and clusters.
• IaC: Terraform.
• Monitoring: New Relic.
• Scripting: Bash and Python scripting for automation.
• Networking Basics: DNS, load balancers, security groups, VPNs.
• Logging: ELK stack / CloudWatch Logs.
• Database: MSSQL administration — backups, restores, basic performance troubleshooting.
• Infrastructure Automation: Hands-on experience automating infrastructure provisioning, configuration, and deployment end-to-end.
• AI-Assisted Engineering: Comfortable working with AI coding/DevOps assistants (e.g., GitHub Copilot, Claude Code) for IaC generation, scripting, and troubleshooting — verified via a mandatory AI proficiency assessment during interviews.

Nice-to-Have Skills

•     Configuration Management: Ansible.

•     Additional IaC: CloudFormation.

•     Architecture: Knowledge of microservices architecture.

•     Cloudflare: DNS, CDN, WAF.

•     Artifact Repositories: Nexus, JFrog Artifactory, ECR.

•     Other CI/CD Tools: GitHub Actions.

•     AWS cost optimization / FinOps awareness.

•     Datadog, CloudWatch, or Prometheus/Grafana.

•     AIOps: Exposure to AI-driven anomaly detection, root-cause analysis, or incident triage (e.g., Dynatrace Davis AI, Datadog Bits AI, Harness AIDA).

•     Database Basics: RDS backups, restores, performance tuning.