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Devops Engineer with 8+ years in Cloud Automation, AWS, Azure & Containerization
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced DevOps Engineer with over 8.5 years in IT, specializing in cloud automation, AWS and Azure management, and containerization with Docker. Skilled in designing and implementing efficient CI/CD pipelines to enhance application reliability and system performance. Adept at leveraging cloud technologies and automation tools to optimize infrastructure and streamline deployment processes. Committed to driving continuous improvement and operational excellence in dynamic environments.
Bharath University
Bachelor of Engineering · Computer Science
August 1, 2012 – June 30, 2016
Virtusa
DevOps Engineer
September 1, 2024 – Present
India
Aventra groups
DevOps Engineer
December 1, 2023 – August 1, 2024
India
Tata Consultancy Services (TCS)
DevOps Engineer
July 1, 2021 – November 1, 2023
India
AWS Certified DevOps Engineer - Professional
Unknown
May 1, 2026 – Present
Azure adminstrator
Unknown
May 1, 2026 – Present
Cultural Fit Analysis
The candidate exhibits a strong cultural fit due to their diverse work experience across multiple organizations (Virtusa, Aventra, TCS), indicating adaptability and exposure to various corporate cultures. Their consistent focus on DevOps roles throughout their career demonstrates a clear passion and dedication to the field. The breadth of technical skills, encompassing multiple cloud platforms (AWS, Azure DevOps, mentioned GCP), CI/CD tools, container technologies, and monitoring solutions, suggests a proactive learning attitude and ability to integrate into diverse technical stacks. Mentions of collaboration with development and cross-functional teams highlight a team-oriented approach, which is crucial for a successful DevOps culture.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving and troubleshooting skills through experience in production support, incident resolution, and root cause analysis. Collaboration is evident from working closely with development and cross-functional teams. A proactive automation mindset is central to their experience, alongside a commitment to monitoring and documentation. Their diverse company experience suggests adaptability and a strong operational fit for dynamic environments.