Vignesh

Thiruvananthapuram, Kerala, India
Vignesh
Experience: 2 years
Open to: Full-Time
Education: Bachelors
Availability: Within 30 Days
Skills: AWS, Azure, Docker, Kubernetes, Problem Solving, Terraform
Previously worked at: IT Service Companies
Assessment Score: 75
  • Years of Experience: Over 1 year of professional experience, with a current role as Associate Engineer – Cloud Admin at 3i Infotech Ltd., having previously interned at the same company. Hands-on experience with cloud platforms, CI/CD pipelines, containerization, and cloud monitoring.
  • Educational Background: Completed B.E. in Computer Science & Engineering (2018-2022). Achieved academic excellence with foundational knowledge in cloud computing and DevOps practices. Completed Plus Two from Kerala Higher Secondary Education and 10th grade under the Central Board of Secondary Education.
  • Internship Experience: As a Cloud Intern at 3i Infotech Ltd. (Jun 2022 – Nov 2022), worked on cloud infrastructure deployment and configuration across AWS, Azure, and Oracle Cloud. Contributed to CI/CD pipeline design using Azure DevOps and automated deployments for multiple projects.
  • Current Work Experience: Serving as an Associate Engineer – Cloud Admin at 3i Infotech Ltd. (Nov 2022 – Present), where responsibilities include troubleshooting infrastructure issues, assisting with cloud monitoring tools like New Relic, Azure Monitor, and AWS CloudWatch, and supporting container orchestration with Docker and Kubernetes.
  • Technical Skills: Skilled in cloud platforms such as AWS and Azure, containerization using Docker, and orchestration with Kubernetes. Proficient with Azure DevOps for CI/CD, and cloud monitoring tools including New Relic and Azure Monitor. Hands-on experience with Linux administration and troubleshooting.
  • Certifications and Achievements: Holds certifications such as Microsoft Azure Fundamentals (AZ-900) and AWS Cloud Practitioner Essentials. Recognized for contributions to cloud monitoring and DevOps processes, as well as improving system scalability and performance.

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