Devops Engineer with 4+ years in Linux administration & automation.
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Assessing your cultural and operational fit
DevOps / System Administrator with 3+ years of experience managing Linux-based servers and cloud environments. Skilled in Linux administration, automation using Bash and Ansible, CI/CD support, and monitoring. Experienced in managing production systems, troubleshooting issues, and maintaining secure and reliable infrastructure. RHCSA certified and building expertise in AWS and modern DevOps practices.
Sarvepalli Radhakrishnan University
Bachelor of Computer Application (BCA)
August 1, 2018 – June 30, 2021
Intuitive Reason
System Administrator
January 1, 2024 – Present
Pālghāt, Kerala, India
Doot Internet Services
Linux Administrator
December 1, 2022 – November 1, 2024
Cochin, Kerala, India
Centralized ClamAV Deployment and Monitoring
June 1, 2026 – Present
Automated malware scans on 15+ Linux servers, improving threat detection speed by 40%.
Automated WordPress Deployment on Scale
June 1, 2026 – Present
Used Ansible to deploy WordPress across 20 servers, ensuring consistency and saving 10+ hours/month.
AWS Solutions Architect – Associate (In Progress)
AWS
June 1, 2026 – Present
Red Hat Certified System Administrator (RHCSA)
Red Hat
March 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, including centralized malware deployment and automated WordPress scaling, indicates an initiative-taking and problem-solving mindset. Their experience aligns well with a DevOps culture that values automation, continuous improvement, and infrastructure as code. The pursuit of AWS certification further shows a commitment to cloud-native practices, which is a strong cultural fit for modern DevOps roles.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to problem-solving and efficiency through automation. Their experience in documenting issues and solutions suggests a focus on knowledge sharing and operational clarity. The project descriptions indicate an ability to identify and address operational bottlenecks, such as improving threat detection speed and automating deployments.