Vishnu  ·  Senior AWS / Azure DevOps Engineer  ·  8+ yrs

Senior
8+ years experienceremote
Available within 48 hrs

Proof of scale

50% reduction in security incidents
30% reduction in deployment time
30% reduction in deployment time50% reduction in security incidents

About Vishnu

Vishnu is a Senior DevOps Engineer with 8+ years of experience in cloud infrastructure, automation, and CI/CD pipeline management. He has a proven track record in implementing scalable and secure infrastructure solutions.

8+ years of commercial experience in

Skills(54)

AWSAzureTerraformDockerKubernetesPythonAnsibleJenkinsGitHub ActionsCircleCIAzure Resource Manager (ARM)Azure PipelinesAzure DevOpsAzure MonitorDatadogSplunkAzure DevOps PipelinesMavenAzure ArtifactsAzure Kubernetes Service (AKS)Helm ChartsKubernetes operatorsAzure AutomationAzure Security CenterPowerShellBashGitAzure ReposAzure CNILog AnalyticsPackerDocker SwarmAWS Auto ScalingConfluenceSharePointPrometheusNessusQualysIstioCalicoCiliumLinuxCI/CD PipelineDocker ComposeNagiosZabbixPrometheus AlertmanagerPagerDutyVagrantShell/Perl scriptingWebSphereWebLogicApache TomcatJBOSS

Why hire Vishnu?

Production deploy authorityMentored junior engineersLed cross-functional teams

Proven track record in CI/CD pipeline implementation and optimization across Azure DevOps, Jenkins, GitHub Actions, and CircleCI.

Extensive experience with Infrastructure as Code (IaC) using Terraform and Azure Resource Manager (ARM) templates.

Deep expertise in containerization and orchestration with Docker and Kubernetes (AKS).

Implemented and managed real-time monitoring and alerting solutions with Prometheus, Datadog, and Splunk.

Strong focus on security and compliance, integrating vulnerability assessments and compliance checks into pipelines.

Reduced manual configuration time by 30%.

Achieved 30% reduction in deployment time.

Implemented 20% cost reduction and increased scalability for cloud infrastructure.

Streamlined deployment processes, reducing errors by 50%.

Enhanced system observability, reducing downtime by 25-40% across projects.

Project highlights(7)

Global Application Deployment PlatformSr. DevOps Engineer

Overview: This project focuses on building a global platform for application deployment, leveraging advanced Azure services and DevOps practices. Responsibilities: Automated infrastructure provisioning using Terraform, ARM templates, and Ansible, reducing manual configuration time by 30%. Led implementation of CI/CD pipelines using Azure Pipelines, GitHub Actions, and Jenkins, reducing deployment time by 30%. Spearheaded migration of on-premise infrastructure to Azure, leading to 20% cost reduction.

TerraformAzure Resource Manager (ARM)AnsibleAzure PipelinesGitHub ActionsJenkins

Key outcomes:

  • Reduced manual configuration time by 30%.

  • Achieved a 30% reduction in deployment time.

  • Led to a 20% cost reduction.

Enterprise Automation and Monitoring SystemSenior DevOps Engineer

Overview: This project focused on designing and implementing an automation and monitoring system for enterprise-level operations. Responsibilities: Designed and implemented CI/CD pipelines using Azure DevOps, achieving a 40% reduction in deployment failures. Implemented real-time monitoring and alerting solutions with Azure Monitor, Datadog, and Splunk, reducing downtime by 25%. Ensured infrastructure and application security through regular vulnerability assessments.

Azure DevOpsAzure MonitorDatadogSplunkAnsible

Key outcomes:

  • Achieved a 40% reduction in deployment failures.

  • Reduced downtime by 25%.

Blockchain Infrastructure DeploymentDevOps Engineer

  • This project involved establishing and managing a robust blockchain infrastructure for Ethereum and Bitcoin nodes.
  • The goal was to ensure high availability, scalability, and security of the blockchain network through advanced DevOps practices.
  • Created a Software Deployment Life Cycle using Azure DevOps Pipelines, Maven, and Azure Artifacts, reducing deployment errors by 50%.
  • Configured and deployed Ethereum and Bitcoin nodes on Azure Kubernetes Service (AKS), ensuring high availability and scalability.
  • Established and managed processes for ongoing maintenance, monitoring, and security patching using Azure Automation, Azure Monitor, and Azure Security Center, minimizing downtime by 40%.
  • Designed and developed automation scripts using PowerShell, Python, and Bash, optimizing repetitive tasks and reducing manual effort by 30%.
  • Managed Dockerized application environments and deployed containers to AKS, implementing advanced networking with Azure CNI.
Azure DevOps PipelinesMavenAzure ArtifactsAzure Kubernetes Service (AKS)Helm ChartsKubernetes operatorsAzure AutomationAzure MonitorAzure Security CenterPowerShellPythonBashGitAzure ReposDockerAzure CNILog Analytics

Key outcomes:

  • Reduced deployment errors by 50%.

  • Minimized downtime by 40%.

  • Reduced manual effort by 30%.

Software Deployment Lifecycle AutomationSenior DevOps Engineer

  • This project focused on automating the software deployment lifecycle to improve efficiency and reduce infrastructure costs.
  • It involved integrating various CI/CD tools and open-source technologies for enhanced flexibility and innovation.
  • Managed the Software Deployment LifeCycle through a CI/CD Pipeline, integrating tools like Jenkins, CircleCI, and Azure DevOps, improving deployment efficiency by 30%.
  • Utilized open-source technologies like Terraform, Packer, and Docker to enhance infrastructure and workflows, increasing flexibility and innovation by 25%.
  • Orchestrated solutions using Kubernetes and Docker Swarm, optimizing performance and resource utilization, resulting in a 20% reduction in infrastructure costs.
  • Provided support to team members, fostering collaboration and success through knowledge sharing and documentation.
JenkinsCircleCIAzure DevOpsTerraformPackerDockerKubernetesDocker Swarm

Key outcomes:

  • Improved deployment efficiency by 30%.

  • Increased flexibility and innovation by 25%.

  • Reduced infrastructure costs by 20%.

Scalable Cloud Infrastructure ImplementationDevOps Engineer

  • This project involved implementing a scalable cloud infrastructure on AWS and Azure, ensuring high availability, security, and efficient deployment.
  • It focused on leveraging automation, monitoring, and robust security practices to handle increased load and minimize incidents.
  • Conducted capacity planning and scaled infrastructure using AWS Auto Scaling, ensuring it handled increased load effectively, resulting in a 20% increase in capacity.
  • Designed and implemented CI/CD pipelines using CircleCI and Azure DevOps, automating build, test, and deployment processes, improving deployment efficiency by 40%.
  • Implemented real-time monitoring and alerting solutions using Datadog and Prometheus, reducing downtime by 25%.
  • Ensured infrastructure and application security by implementing best practices, conducting regular vulnerability scans using Nessus and Qualys, reducing security incidents by 50%.
  • Deployed high availability Kubernetes clusters, managed service mesh technologies like Istio, and implemented advanced Kubernetes networking with Calico and Cilium.
AWS Auto ScalingConfluenceSharePointCircleCIAzure DevOpsDatadogPrometheusSplunkNessusQualysKubernetesIstioCalicoCilium

Key outcomes:

  • Resulted in a 20% increase in capacity.

  • Reduced time spent on issue resolution by 30%.

  • Improved deployment efficiency by 40%.

  • Reduced downtime by 25%.

  • Reduced security incidents by 50%.

Industry experience

Web3 & Crypto

1 project
  • Blockchain Infrastructure DeploymentDevOps EngineerAzure DevOps Pipelines · Maven · Azure Artifacts · Azure Kubernetes Service (AKS) +13

Cybersecurity

4 projects
  • Enterprise Automation and Monitoring SystemSenior DevOps EngineerAzure DevOps · Azure Monitor · Datadog · Splunk +1
  • Blockchain Infrastructure DeploymentDevOps EngineerAzure DevOps Pipelines · Maven · Azure Artifacts · Azure Kubernetes Service (AKS) +13
  • Scalable Cloud Infrastructure ImplementationDevOps EngineerAWS Auto Scaling · Confluence · SharePoint · CircleCI +10
  • Configuration Management AutomationLinux Administrator / Ansible Automation SpecialistAnsible · Linux

HealthTech

Reported in resume

Ready to work with Vishnu?

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

At a Glance

Experience8+ years
Work moderemote
Starting from₹1.6 L/mo
Direct hirePossible
Start within48 hours
From₹1.6 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 ownerCode reviewerMentor / leads juniorsOn-call experience
VerifiedVetted by Witarist
Technical skills assessed & verified
Background & identity checked
English communication verified
Ready to onboard in 48 hours

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Vishnu

DevOps Engineer