Raj  ·  Senior Azure DevOps Engineer  ·  5+ yrs

Mid-Level
5+ years experienceremote
Available within 48 hrs

Proof of scale

50% reduction in deployment failures
40% reduction in deployment time
35% reduction in incident response time
40% reduction in deployment time25% reduction in cloud costs30% enhancement in server response time50% reduction in deployment failures35% reduction in incident response time20% improvement in API response time

About Raj

Raj is a DevOps Engineer with 5+ years of experience specializing in cloud infrastructure and CI/CD pipelines. He has a proven track record in optimizing deployment processes and enhancing system performance.

5+ years of commercial experience in

Cloud Infrastructure

Skills(20)

AzureKubernetesTerraformDockerGrafanaPrometheusJenkinsAnsibleELK StackRBACAKSOn-Prem ServersHelm ChartsIstioAzure DevOpsYAMLSlackMicrosoft TeamsAzure API ManagementOAuth2

Why hire Raj?

Production deploy authorityImplemented CI/CD pipelinesManaged Kubernetes clusters

Designed and deployed end-to-end CI/CD pipelines for automated workflows.

Reduced cloud costs by 25% through optimized resource allocation.

Enhanced server response time by 30% through optimization.

Implemented automated rollbacks to reduce deployment failures by 50%.

Integrated monitoring systems for proactive incident management.

Reduced deployment time by 40% through automated workflows.

Reduced deployment failures by 50% through automated rollbacks.

Reduced incident response time by 35%.

Project highlights(6)

Cloud-Based CI/CD Pipeline Implementation – Azure DevOps Engineer

Overview: Designed and deployed an end-to-end CI/CD pipeline for automated build, test, and deployment workflows. Responsibilities: Configured Jenkins with Ansible for CI/CD automation, ensuring seamless integration. Implemented Dockerized microservices deployed via Kubernetes (AKS) for scalable application architecture. Developed infrastructure-as-code (IaC) templates using Terraform to provision and manage cloud resources efficiently. Integrated Grafana and Prometheus for real-time monitoring, providing immediate insights into system performance.

AzureKubernetesJenkinsAnsibleDockerTerraformGrafanaPrometheus

Key outcomes:

  • Reduced deployment time by 40% through automated workflows.

Virtual Cloud Infrastructure Deployment – Azure DevOps Engineer

Overview: Designed and deployed a scalable virtual cloud infrastructure for enterprise applications. Responsibilities: Created and configured Azure Virtual Networks and Virtual Machines, establishing core network infrastructure. Deployed Kubernetes clusters on AKS with auto-scaling enabled, optimizing resource utilization. Set up centralized logging with ELK Stack for comprehensive log management and analysis. Implemented RBAC policies for secure access control, enhancing system security.

AzureKubernetesTerraformELK StackRBACAKS

Key outcomes:

  • Reduced cloud costs by 25% through optimized resource allocation.

On-Prem Server Deployment & Migration – Azure DevOps Engineer

Overview: Migrated legacy on-premise servers to a modernized cloud-based infrastructure. Responsibilities: Designed a hybrid cloud infrastructure for seamless transition, ensuring minimal disruption. Automated deployment using Terraform and Ansible for consistent and efficient provisioning. Implemented private server setup with secure firewall configurations, enhancing data protection. Integrated monitoring alerts using Prometheus and Grafana for proactive system oversight.

AzureAnsibleTerraformPrometheusGrafanaOn-Prem Servers

Key outcomes:

  • Enhanced server response time by 30% through optimization.

Declarative Deployment Strategy Implementation – Azure DevOps Engineer

Overview: Implemented a declarative deployment model for managing Kubernetes workloads. Responsibilities: Developed Helm charts for Kubernetes application deployment, standardizing configurations. Created custom YAML configurations for automated scaling, optimizing resource allocation dynamically. Integrated Azure DevOps pipelines for deployment automation, streamlining the release process. Set up service mesh networking with Istio, enhancing traffic management and security.

AzureKubernetesHelm ChartsIstioAzure DevOpsYAML

Key outcomes:

  • Reduced deployment failures by 50% through automated rollbacks.

Alerting & Notification System for Enterprise Monitoring – Azure DevOps Engineer

Overview: Developed an enterprise-level monitoring system with real-time alerts and notifications. Responsibilities: Configured Prometheus and Grafana for metric collection, enabling comprehensive data gathering. Implemented custom alerting rules for proactive monitoring, ensuring early detection of issues. Integrated Slack and Microsoft Teams for instant notifications, facilitating rapid team communication. Automated log analysis using ELK Stack, streamlining troubleshooting and trend analysis.

PrometheusGrafanaELK StackSlackAzureMicrosoft Teams

Key outcomes:

  • Reduced incident response time by 35%.

Industry experience

Cloud Infrastructure

2 projects
  • •Virtual Cloud Infrastructure Deployment— Azure DevOps EngineerAzure · Kubernetes · Terraform · ELK Stack +2
  • •On-Prem Server Deployment & Migration— Azure DevOps EngineerAzure · Ansible · Terraform · Prometheus +2

Ready to work with Raj?

Schedule an interview and onboard within 48 hours. No long hiring cycles.

At a Glance

Experience5+ years
Work moderemote
Starting from₹1.4 L/mo
Direct hirePossible
Start within48 hours
From₹1.4 L/ month

Single contract. No agency markup confusion.

Typically responds within 4 business hours.

5-day replacement guarantee
48-hour onboarding, single invoice
Direct chat — no recruiter middleman
Seniority signals
Owns production deploysGreenfield architectSystem ownerOn-call experience
VerifiedVetted by Witarist
Technical skills assessed & verified
Background & identity checked
English communication verified
Ready to onboard in 48 hours

Not sure if this is the right fit?

Tell us your requirements and we'll match you with the best candidates.

Raj

Azure DevOps Engineer