Vidit
Vadodara, Gujarat, India
Experience: 2 years
Open to: Full-Time
Education: Bachelors
Availability: Within 30 Days
Skills: Active Directory, Ansible, Automation Anywhere, AWS, Azure, Docker, GCP, Git, Jenkins, Jira, Kafka, Kubernetes, PowerShell, Python, Redis, Terraform
Previously worked at: US-based Companies
Assessment Score: 100
- Years of Experience: Over 2 years of experience as a Cloud Infrastructure and DevOps Engineer, specializing in multi-cloud environments, automation, and infrastructure optimization, with a proven track record in reducing costs, streamlining deployments, and ensuring system reliability.
- Educational Background: Holds a Bachelor of Technology in Computer Engineering from Dharmsinh Desai University with a CGPA of 8.5/10. Completed Class XII (CBSE) with 84.8% and Class X (CBSE) with a CGPA of 9.0 from Delhi Public School, Vadodara.
- Work Experience: Currently a Cloud Operation Engineer at GlobalLogic since Feb 2024, with previous experience as a Site Reliability Engineer at HHAeXchange (Dec 2022 – Feb 2024). Demonstrated expertise in managing AWS, GCP, and Azure environments, implementing Kubernetes clusters, and automating critical workflows.
- Key Achievements in Current Role: Led a cloud restructuring project that saved $20K annually through Ansible automation and resource optimization. Successfully mitigated 100+ security vulnerabilities, transitioned over 100 VMs to newer OS versions, and improved system reliability and uptime across 650+ servers.
- Technical Skills: Proficient in Terraform, Docker, AWS, Kubernetes, Linux, Redis, Kafka, and Ansible. Expertise in cloud operations, monitoring tools like Datadog, and server migrations. Strong background in Python programming and cloud security.
- Certifications and Recognition: Holds AWS Certified Solutions Architect – Associate and Google Cloud Fundamentals certifications. Awarded Quarterly Excellence Award at GlobalLogic for outstanding contributions in Q1 HFY’25. Recognized for consistently delivering high-impact projects and reducing operational costs.