Azure Devops Engineer - Bangalore at Whitefield Careers · Bengaluru (Bangalore) · 4 - 8 years · ₹12L - ₹17L / yr · Bootstrapped · Posted 9 Jun 2026

Location: Bangalore
Experience: 4-8 years
Interview Process - Two Rounds - First Round Virtual
Second Round-Face to Face at Bangalore
Key Skills Required
☁️ Cloud & Infrastructure
- Strong hands-on experience with AWS Cloud Services
- Proficiency in Terraform for Infrastructure as Code (IaC)
- Experience in managing scalable cloud environments
⚙️ Containerization & Orchestration
- Solid experience in Kubernetes (K8s) for container orchestration
- Understanding of microservices architecture
🔄 CI/CD & DevOps
- Hands-on experience with Azure DevOps (CI/CD pipelines)
- Experience in build, release, and deployment automation
📊 Observability & Monitoring
- Strong experience with Prometheus & Grafana
- Expertise in setting up alerts, dashboards, and monitoring system health
🔐 API Gateway & Security
- Experience with Kong or equivalent API Gateway
- Understanding of API security controls (authentication, rate limiting, policies)
🧠 Core Technical Competencies
- Strong Linux troubleshooting and system debugging skills
- Proficiency in scripting (Bash / Python / Shell)
- Understanding of networking concepts: TCP/IP, HTTP, DNS, Load Balancing
- Experience with system architecture and distributed systems
🚨 SRE Responsibilities
- Monitor system performance, reliability, and availability
- Handle incidents, perform troubleshooting, and conduct RCA
- Automate operational tasks to improve efficiency
- Build and maintain scalable, resilient infrastructure
- Collaborate with development and DevOps teams for system improvements
🧪 Good to Have
- Experience with Finacle operations
- Exposure to API/load testing tools like JMeter or Gatling
- Familiarity with logging tools like Loki
🤝 Soft Skills
- Strong communication and collaboration skills
- Ability to document processes and technical workflows clearly
🎯 Ideal Candidate
A hands-on SRE/DevOps Engineer with strong exposure to:
- AWS + Terraform + Kubernetes
- CI/CD (Azure DevOps)
- Monitoring + API Gateway security

About Whitefield Careers
About
Whitefield Careers is a recruitment and workforce solutions company specializing in connecting exceptional talent with industry-leading organizations across India. With over four years of recruitment expertise, the company provides a wide range of services including talent acquisition, staff augmentation, recruitment process outsourcing (RPO), payroll and compliance management, background verification, interview-as-a-service, and on-demand skilled deployment.
Trusted by 75+ clients and maintaining a 98% client retention rate, Whitefield Careers has successfully placed over 520 professionals across multiple industries. The company focuses on building long-term partnerships through a relationship-driven approach, helping businesses scale with the right talent while supporting professionals in advancing their careers.
In addition to recruitment services, Whitefield Careers operates Whitefield Campus, a career acceleration initiative that bridges the gap between academia and industry through placement support, mock interviews, resume-building assistance, internship opportunities, and career training programs for students and early-career professionals.
Similar jobs (10)
Role Overview
We are looking for a DevOps / Platform Engineer with 3–4 years of experience to help manage AWS cloud infrastructure, automation, and AI-ready platform operations. You will work closely with engineering and AI teams to ensure scalable, secure, and reliable deployments.
Key Responsibilities
- AWS & Infrastructure: Manage core AWS services (EC2, EKS, Lambda, RDS, S3, VPC) using Infrastructure-as-Code (Terraform, CloudFormation, or CDK).
- AI/ML Workflows: Support infra for AI applications, model serving, vector databases, and GPU-based workloads.
- CI/CD & Automation: Build and maintain deployment pipelines using GitHub Actions, GitLab CI, or Jenkins.
- Containers & Kubernetes: Deploy and maintain containerized applications using Docker and Kubernetes (EKS) or ECS.
- Observability & Incident Support: Maintain dashboards and alerts with CloudWatch, Prometheus, or Grafana, and participate in on-call response.
- Security & FinOps: Apply AWS security best practices (IAM, encryption, secrets) and assist with cloud cost optimization.
Must-Have Skills & Qualifications
- 3–4 years of experience in DevOps, SRE, or Cloud Infrastructure Engineering.
- AWS & Containers: Good working knowledge of core AWS services, Docker, and Kubernetes (EKS).
- Infrastructure-as-Code: Practical experience with Terraform, CloudFormation, or AWS CDK.
- Linux & Networking: Solid fundamentals in Linux systems, DNS, routing, and load balancing.
- Scripting: Hands-on scripting proficiency in Python, Bash, or Go.
- CI/CD & Observability: Experience building CI/CD pipelines (GitHub Actions, GitLab CI, or Jenkins) and using monitoring tools (CloudWatch, Prometheus, Grafana, or Datadog).
Nice-to-Have Skills
- Basic exposure to AI/ML infrastructure, model serving, or GPU-based compute.
- Experience with event-driven messaging systems (Kafka, Redis, or SQS).
- Familiarity with GitOps tools and Helm (ArgoCD, Flux, or OpenTelemetry).
- AWS Certifications (Solutions Architect Associate, SysOps Administrator, or DevOps Engineer).
Job Summary
We are looking for an experienced SRE DevOps Engineer to manage production infrastructure, improve system reliability, automate operational tasks, and support scalable cloud environments. The candidate should have strong experience in Site Reliability Engineering (SRE), DevOps tools, monitoring, incident management, and automation.
Key Responsibilities
- Monitor application and infrastructure performance to ensure high availability and reliability.
- Manage production incidents, troubleshooting, root cause analysis, and resolution.
- Implement and maintain CI/CD pipelines for automated deployments.
- Manage cloud infrastructure on AWS, Azure, or GCP.
- Automate repetitive operational tasks using Python, Shell, or Bash scripting.
- Work with Docker, Kubernetes, and container orchestration technologies.
- Implement monitoring and alerting using tools such as Prometheus, Grafana, Splunk, or Datadog.
- Manage infrastructure as code using Terraform or Ansible.
- Define and monitor SLIs, SLOs, and SLAs.
- Collaborate with development, infrastructure, and support teams to improve system reliability.
- Participate in on-call support and disaster recovery activities.
Mandatory Skills
- Site Reliability Engineering (SRE)
- DevOps and Production Support
- Linux/Unix Administration
- Cloud Platforms: AWS, Azure, or GCP
- CI/CD Tools: Jenkins, GitLab CI, or GitHub Actions
- Scripting: Python, Shell, or Bash
- Docker and Kubernetes
- Monitoring and Observability: Splunk, Grafana, Prometheus, or Datadog
- Incident Management and Root Cause Analysis
Job Summary
We are looking for an experienced SRE / DevOps Engineer with strong expertise in production support, site reliability engineering, cloud infrastructure, automation, and monitoring. The candidate should have experience maintaining highly available systems, troubleshooting production issues, and improving infrastructure reliability and performance.
Mandatory Skills
- Site Reliability Engineering (SRE)
- DevOps Engineering
- Production Support
- Linux Administration
- Cloud Infrastructure (AWS / Azure / GCP)
- Kubernetes and Docker
- CI/CD pipelines
- Monitoring and Observability
- Scripting using Python / Shell
- Incident Management and Root Cause Analysis
Key Responsibilities
- Monitor and maintain the availability, reliability, and performance of applications and infrastructure.
- Handle production incidents, troubleshoot issues, and perform root cause analysis.
- Manage and automate infrastructure deployment and operational tasks.
- Work with CI/CD pipelines and container orchestration platforms.
- Implement monitoring, alerting, and observability solutions.
- Collaborate with development and operations teams to improve system reliability.
- Support cloud infrastructure, Linux environments, and production deployments.
- Identify recurring issues and implement preventive measures to reduce downtime.
- 3 years of relevant experience in DevOps, Site Reliability Engineering (SRE), cloud operations, or application production support.
- Strong practical understanding of AWS cloud services, including compute, storage, IAM, networking, security, and monitoring.
- Good Linux administration skills, including system troubleshooting, performance analysis, log investigation, and service management.
- Hands-on experience with GitLab CI/CD, including pipeline configuration, execution, troubleshooting, YAML files, variables, artifacts, and GitLab Runners.
- Mandatory hands-on experience with Infrastructure as Code (IaC), preferably Terraform, including infrastructure provisioning, configuration management, reusable modules, state management, and troubleshooting deployment issues.
- Working knowledge of Git, branching strategies, merge requests, and version control workflows.
- Good understanding of networking fundamentals, including DNS, TCP/IP, ports, routing, load balancers, and AWS security groups.
- Ability to systematically investigate and resolve infrastructure, application, and deployment issues using logs, metrics, monitoring tools, and dependency analysis.
- Working knowledge of Python or Shell scripting for operational automation and troubleshooting.
- Strong problem-solving skills, communication, collaboration, willingness to learn, and ownership of incidents through resolution.
Preferred Skills and Experience
- Basic SQL knowledge for application and database-related operational investigations.
- Experience with AWS monitoring and logging services, particularly Amazon CloudWatch.
- Familiarity with incident, problem, and change management processes in production environments.
- Exposure to operational automation, proactive monitoring, alert optimization, and root cause analysis (RCA).
- Understanding of cloud infrastructure best practices, including security, reliability, availability, and cost optimization.
- Experience supporting containerized applications using Docker, Kubernetes, or Amazon EKS would be an advantage.
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
- Cloud Platforms: Microsoft Azure, Azure Virtual Machines, Virtual Networks, Storage Accounts, Load Balancers, Key Vaults.
- Containerization & Orchestration: Docker, Kubernetes, Azure Kubernetes Service (AKS).
- CI/CD & Automation: Azure DevOps, Jenkins, CI/CD pipeline development and maintenance.
- Infrastructure as Code: Terraform; exposure to Ansible and automated configuration management.
- 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.
Job Description – DevOps Engineer
Company: Kanhasoft
Experience: 4+ Years
Location: Ahmedabad (Work from Office)
Employment Type: Full-Time
Job Overview
We are looking for an experienced DevOps Engineer with 4+ years of hands-on experience in managing cloud infrastructure, CI/CD pipelines, deployment automation, and server administration. The ideal candidate should have strong knowledge of cloud platforms, containerization, infrastructure management, and deployment processes to ensure scalable, secure, and reliable application delivery.
Key Responsibilities
- Design, implement, and maintain CI/CD pipelines for automated build, testing, and deployment.
- Manage and maintain cloud infrastructure on AWS, Azure, or Google Cloud.
- Work with Docker and Kubernetes for containerization and orchestration.
- Automate infrastructure provisioning and configuration management.
- Monitor application performance, server health, and system availability.
- Manage Linux servers, networking, security, and troubleshooting.
- Implement backup, disaster recovery, and security best practices.
- Collaborate with development and QA teams to streamline deployment processes.
- Identify and resolve infrastructure, deployment, and production-related issues.
- Optimize cloud resources, performance, and infrastructure costs.
Required Skills & Qualifications
- 4+ years of professional experience in DevOps or Cloud Infrastructure.
- Strong hands-on experience with AWS, Azure, or GCP.
- Good knowledge of CI/CD tools such as Jenkins, GitLab CI/CD, or GitHub Actions.
- Hands-on experience with Docker and Kubernetes.
- Strong understanding of Linux/Unix server administration.
- Experience with Infrastructure as Code (IaC) tools such as Terraform or Ansible.
- Knowledge of Git and version control systems.
- Understanding of networking, DNS, load balancing, firewalls, and security.
- Experience with monitoring tools such as Prometheus, Grafana, or ELK Stack.
- Strong troubleshooting, problem-solving, and communication skills.
Preferred Qualifications
- Experience managing production environments.
- Knowledge of scripting languages such as Bash or Python.
- Experience with cloud security and cost optimization.
- Familiarity with microservices architecture.
What We Are Looking For
- A proactive professional with strong technical and analytical skills.
- Ability to work independently and manage multiple infrastructure tasks.
- Strong collaboration skills to work with cross-functional teams.
Required Skills:
- Strong experience in Site Reliability Engineering (SRE) and DevOps practices.
- Hands-on experience with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI/CD.
- Strong knowledge of AWS, Azure, or GCP cloud platforms.
- Experience with Docker, Kubernetes, and container orchestration.
- Hands-on experience with Terraform, Ansible, or other Infrastructure as Code (IaC) tools.
- Experience with monitoring and observability tools such as Prometheus, Grafana, Splunk, ELK, or Datadog.
- Good scripting skills in Python, Bash, or Shell scripting.
- Understanding of SLI, SLO, SLA, error budgets, and service reliability.
- Experience in incident management, troubleshooting, root-cause analysis (RCA), and production support.
- Knowledge of system performance monitoring, capacity planning, high availability, and disaster recovery.
- Experience with Linux/Unix administration and networking fundamentals.
- Familiarity with Agile methodologies, Git, and automated deployment practices.
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.
Role Overview
- Role: Senior DevOps / CloudOps Engineer
- Domain: IoT Smart Controls & Building Management Systems (BMS) Platform
- Environment: Scale-Up product ecosystem demanding Startup Agility
Key Responsibilities
- Cloud & Infrastructure Management: Design, provision, and maintain secure, highly available cloud infrastructure (AWS/Azure/GCP) with application of Infrastructure as Code capabilities(Terraform/Ansible)
- IoT & Real-Time Messaging Scalability: Manage high-throughput MQTT broker clusters and WebSocket communication layers to support massive concurrent device telemetry
- CI/CD Pipeline Operations: Build and optimize automated build, test, and deployment pipelines for heterogeneous micro-services spanning Java Spring Boot backends, PHP services, and containerized components.
- Container Orchestration: Manage Docker containers and Kubernetes clusters ensuring seamless micro-services orchestration, zero-downtime rollouts, and failover resilience.
- Monitoring & Observability: Implement comprehensive logging, tracing, and metric alerts (Prometheus, Grafana, ELK stack) across cloud components and edge-to-cloud communication paths.
- Cross-Functional Collaboration: Coordinate with firmware teams (C/C++) and mobile/web application teams (React Native, JavaScript, Android, iOS) to ensure smooth continuous integration and API gateway reliability
Required Skills & Qualifications
- Experience: 8+ years of hands-on cloud engineering and DevOps experience in production environments.
- Cloud & IaC: Deep proficiency in cloud platform administration (AWS/Azure) alongside Terraform.
- Networking & Protocols: Solid understanding of TCP/IP, DNS, load balancing, WebSockets, and MQTT broker scaling (e.g., EMQX, HiveMQ, or Mosquitto).
- Containerization Stack: Working knowledge of Docker, Kubernetes, and Helm charts.
- Scripting & Automation: Good scripting fundamentals in Python, Bash
- Tech Stack Familiarity: Operational awareness of Java Spring Boot, PHP, and JavaScript ecosystems to debug deployment bottlenecks and assist engineering teams.
About the company:
We empower US healthcare payers with a truly next-generation, cloud-native, holistic, and customizable platform designed to prevent and adapt to the ever-evolving inaccuracies in healthcare claims and payments. By reducing complexity and administrative costs, we offer a unified, healthcare-dedicated platform backed by top VCs like BeeNext, 3One4 Capital, and Saison Capital.
Position Overview:
We are looking for an experienced DevOps Engineer to join our team in Bengaluru. In this role, you will be responsible for building, optimizing, and maintaining scalable, secure, and highly available multi-cloud infrastructure that supports our engineering teams. The ideal candidate brings strong hands-on experience with Kubernetes, Infrastructure as Code (Terraform), and robust monitoring/observability stacks to enable seamless, reliable, and automated deployments.
Key Responsibilities:
- Container Orchestration: Deploy, scale, and manage containerized workloads on Kubernetes (EKS, AKS, and GKE).
- Infrastructure as Code (IaC): Build and maintain modular, reusable, and version-controlled infrastructure using Terraform across AWS, Azure, and GCP.
- Monitoring & Observability: Set up, manage, and optimize monitoring, logging, and alerting stacks (e.g., Prometheus, Grafana, ELK/EFK, Loki, Datadog).
- CI/CD Pipeline Management: Own, improve, and automate CI/CD pipelines to enable fast, reliable, and frictionless software releases.
- System Reliability & SRE Practices: Implement best practices for system reliability, including defining SLIs/SLOs, managing incident response, and participating in on-call support.
- Troubleshooting & Support: Diagnose and resolve complex production issues across infrastructure, networking, and application layers.
- Security & Compliance: Implement infrastructure security best practices, including IAM policies, secrets management, and network security.
- Automation: Eliminate repetitive operational tasks by writing clean, efficient scripts in Python, Bash, or Go.
- Operations & Planning: Participate in capacity planning, cost optimization, disaster recovery, and infrastructure scaling initiatives while maintaining clear documentation and runbooks.
Requirements :
- Solid working experience with cloud providers, specifically AWS, Azure, or GCP.
- Strong understanding of containerization (Docker) and container orchestration concepts.
- Familiarity with Linux system administration and networking fundamentals.
- Experience with version control systems (Git) and GitOps workflows (ArgoCD/Flux is a plus).
- Strong problem-solving skills and the ability to thrive in a fast-paced, collaborative environment.
Qualifications :
Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related technical field (or equivalent practical experience)
Key Skills:
- The ideal candidate must possess deep expertise in container orchestration, specifically hands-on experience managing Kubernetes ecosystems—including Helm charts, cluster networking, and RBAC policies—alongside a foundational mastery of Docker containerization.
- Proficiency in managing cloud architecture as software is essential, with a heavy emphasis on Terraform execution, including advanced module creation, state management, and multi-environment workspaces.
- A strong capability to implement full-stack visibility is required, utilizing tools like Prometheus, the Grafana LGMT stack, ELK/EFK, or Loki to build highly optimized monitoring, alerting, and logging systems.
- Candidates should have a proven track record of constructing and scaling automated deployment pipelines using industry-standard platforms such as Jenkins, GitLab CI, GitHub Actions, or Azure DevOps to minimize release friction. .
- Strong core programming fundamentals are required to automate repetitive infrastructure tasks, with practical proficiency in Python, Bash, or Go.
- Familiarity with cutting-edge cloud-native technologies is highly desirable, including enterprise service meshes (Istio, Linkerd), comprehensive cloud security frameworks (HashiCorp Vault, OPA, Trivy), and a data-driven approach to cloud cost management and FinOps practices.
Work Location: Jayanagar - Bangalore.
Work Mode: Work from Office, hybrid- 3 days WFO
Note: We are looking for immediate joiners & Bangalore Candidates only
Benefits:
- Best-in-class compensation
- Health insurance for Family
- Personal Accident Insurance
- Friendly and Flexible Leave Policy
- Certification and Course Reimbursement
- Medical Coding CEUs and Membership Renewals
- Health checkup
- And many more!










