Nandhini Rathnasamy
Devops EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Devops Engineer with 3+ years in AWS & Cloud Automation
AWS DevOps Engineer with hands-on experience in Cloud Infrastructure, DevOps Automation, CI/CD, Containerization, Infrastructure as Code (IaC), Linux Administration, and Cloud Operations. Experienced in designing, deploying, and managing scalable AWS environments using Terraform, Docker, ECS Fargate, GitHub Actions, and RDS MySQL. Skilled in cloud security, monitoring, automation, and production support. AWS Certified Solutions Architect - Associate with hands-on experience in AI-driven infrastructure monitoring and modern DevOps practices.
Adithya Institute of Technology, Coimbatore
Bachelor of Engineering · Electrical and Electronics Engineering
N/A – June 30, 2015
Zerp Labs / Idevopz
DevOps Engineer
February 1, 2025 – Present
India
CSS Corp Pvt Ltd
Senior Engineer
March 1, 2019 – October 1, 2019
India
Powerup Cloud Technologies
Cloud Engineer
March 1, 2017 – October 1, 2018
India
AWS Certified Solutions Architect - Associate
Unknown
January 1, 2026 – Present
Cultural Fit Analysis
The candidate has worked in diverse roles across different companies, showcasing adaptability. The experience with various tools and technologies (AWS, Terraform, Docker, Ansible, Jenkins, GitHub Actions, MySQL, Linux) indicates a broad skill set relevant to a DevOps culture. The self-learning during a career break and the achievement of 'Best Performer and Team Player' suggest a proactive and collaborative mindset.
Soft Skills & Operational Fit
The candidate's resume highlights experience in troubleshooting, production support, and incident management, indicating a good operational fit. The mention of implementing AI-based monitoring and proactive health checks suggests an interest in advanced solutions. The career break and subsequent self-learning demonstrate initiative and commitment to professional development.