Vignesh Rajan.A.S

DevOps Engineer

Bengaluru, Karnataka, India3 yrs 2 mos experience

Key Highlights

  • Reduced software release times by 70% through CI/CD optimization.
  • Achieved 20% reduction in AWS costs with strategic analysis.
  • Expert in AWS, Terraform, and Kubernetes for cloud solutions.
Stackforce AI infers this person is a Cloud Infrastructure Engineer with expertise in SaaS solutions.

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Skills

Core Skills

Infrastructure As CodeContainerization & OrchestrationCi/cd PipelinesCloud ExpertiseMonitoring & Logging

Other Skills

AWSAWS LambdaAnalytical SkillsApacheAuto ScalingAutomationAzure servicesBackup & RestoreBashCloud ApplicationsCloud ComputingCloudWatchCommunicationControl SystemsCost optimization

About

As a DevOps Engineer with 3 years of hands-on experience, I specialize in building robust, scalable, and secure infrastructure in the AWS Cloud. My expertise lies in bridging the gap between development and operations by leveraging automation, containerization, and monitoring tools to drive efficiency and reliability. πŸ’» Core Skills & Tools πŸ“Œ Cloud Expertise: AWS (EC2, S3, Lambda, CloudFormation, etc.) πŸ“Œ Containerization & Orchestration: Docker, Kubernetes, Istio πŸ“Œ Infrastructure as Code: Terraform, Ansible πŸ“Œ CI/CD Pipelines: Jenkins for seamless code integration and deployment πŸ“Œ Monitoring & Logging: Prometheus, Grafana, EFK Stack (Elasticsearch, Fluentd, Kibana) πŸ“Œ Scripting & Automation: Linux, Shell scripting πŸ’‘ What I Bring to the Table Proven ability to design and implement cloud-based solutions that align with business goals. Experience in optimizing deployment pipelines, reducing downtime, and enhancing system performance. A deep understanding of system monitoring and proactive issue resolution. A mindset focused on continuous improvement and adopting industry best practices. πŸš€ Passion for Innovation I thrive on solving complex problems, automating repetitive tasks, and staying ahead of evolving technologies. My mission is to empower teams by creating systems that are efficient, scalable, and reliable.

Experience

Softtek

DevOps Engineer

Dec 2025 – Present Β· 3 mos Β· Bengaluru, Karnataka, India Β· Hybrid

Verizon

Engr-II Cloud & Devops

May 2025 – Nov 2025 Β· 6 mos Β· Hyderabad, Telangana, India Β· Hybrid

Cloudside

Cloud Engineer

Sep 2023 – Apr 2025 Β· 1 yr 7 mos Β· Bengaluru, Karnataka, India Β· On-site

  • Developed and maintained CI/CD pipelines, reducing software release times by 70% and improving overall
  • code quality by 40%.
  • Implement and maintain infrastructure as code (IaC) using Terraform for entire Azure infrastructure.
  • Administer Azure services, including Virtual Machines, Azure Active Directory, Azure Networking,
  • and Azure Storage.
  • Provision and manage Kubernetes clusters on AKS or GKE to orchestrate containerized applications.
  • Deploy and manage containerized JMeter Tool on GKE using Kubernetes manifests for application load
  • testing.
  • Integrate SonarQube with CI/CD pipelines to automate code quality checks during the build process.
  • Develop and maintain shell scripts for automating repetitive tasks and system administration activities.
  • Design, implement, and manage Istio service meshes on GKE clusters.
  • Configure Istio components such as Pilot, Mixer, and Citadel for service discovery, telemetry, and secur
CI/CD pipelinesTerraformAzure servicesKubernetesJMeterSonarQube+4

Cognizant

Cloud Engineer

Apr 2022 – Jan 2023 Β· 9 mos Β· Bengaluru, Karnataka, India

  • Working knowledge of build automation Jenkins’s administration and CI/CD pipelines.
  • Having Experience on provisioning infra on AWS .
  • Managing users and privilege services using IAM in AWS.
  • Experience on user level Linux Commands, having knowledge in shell scripting.
  • Responsible for Dev, QA, Staging Environments for availability
  • Conducted a comprehensive analysis of AWS resources and implemented cost optimization strategies, resulting
  • in a 20% reduction in monthly AWS bill.
  • Leveraged containerization technologies such as Docker and orchestration platforms like Kubernetes and Amazon
  • EKS to optimize application deployments and achieve scalability.
  • Implemented networking components such as VPCs, subnets, Route53, and load balancers to build secure and
  • isolated environments
  • Managed and configured Docker containers and orchestrated deployments using Kubernetes, ensuring high avail-
  • ability and scalability.
  • Implemented monitoring and logging solutions using Prometheus, and Grafana, enabling real-time visibility into
  • system performance and troubleshooting.
  • Supported the management of storage solutions such as Amazon S3, EBS, and Glacier, ensuring data availability
  • and optimizing costs.
  • Monitored and managed cloud resources using CloudWatch, creating alarms and establishing proactive monitoring
  • strategies.
JenkinsAWSIAMLinux CommandsDockerKubernetes+5

Education

Bachelor of computer application

Jun 2018 – May 2021

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