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Devops Engineer with 2+ years in Kubernetes & AWS Cloud
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Platform-focused DevOps Engineer with expertise in Kubernetes (EKS, OpenShift), Docker, and cloud-native architecture across AWS. Strong experience in Infrastructure as Code (Terraform, Ansible), CI/CD automation (Jenkins, GitHub Actions), and implementing DevSecOps controls including RBAC, security policies, and AWS Secrets Manager. Skilled in designing scalable multi-cluster environments, enhancing system reliability through observability (Prometheus, Grafana, Datadog), and automating production workloads on Linux platforms. Proven ability to improve deployment efficiency, platform stability, and operational performance in enterprise environments.
Madanapalle Institute of Technology and Science
Bachelor of Technology · Computer Science
August 1, 2019 – June 30, 2023
Sri Sairam Junior College
Class XII · Science
June 1, 2017 – May 31, 2019
Z P High School
Class X · Science
June 1, 2016 – May 31, 2017
Cognizant
DevOps Engineer
November 1, 2023 – Present
India
Cognizant
DevOps Engineer
November 1, 2023 – Present
India
Blue Insight Digital
Software Engineer Trainee
February 1, 2023 – August 1, 2023
Bengaluru, Karnataka, India
AWS Cloud Practitioner
AWS
June 1, 2026 – Present
Microsoft Azure Fundamentals
Microsoft
June 1, 2026 – Present
Kubernetes Basics to Advanced
Unknown
June 1, 2026 – Present
Terraform for Absolute beginners
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across different companies (Cognizant, Blue Insight Digital) and exposure to both large enterprise and startup environments suggests adaptability. Their involvement in Agile/Scrum processes and emphasis on team collaboration (Git workflows, documentation) indicate a good cultural fit for dynamic, team-oriented environments. The breadth of skills across various cloud platforms (AWS, Azure) and tools (Kubernetes, Terraform, Jenkins, Datadog) shows a willingness to learn and adapt to diverse technical stacks.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit for a DevOps Engineer role, evidenced by their direct experience in CI/CD automation, infrastructure management, monitoring, and security practices. Their work in Agile/Scrum environments and focus on improving pipeline efficiency and incident resolution time indicate a proactive and collaborative approach. The descriptions highlight problem-solving skills and a results-oriented mindset, such as reducing operational toil and improving release success rates.