Cloud DevOps Engineer with 3+ years in AWS, Azure, GCP & Kubernetes
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Cloud Aws Azure GCP DevOps Engineer with 3+ years of experience designing, automating, and managing cloud infrastructure across AWS and Azure environments. Skilled in Kubernetes, Terraform, CI/CD pipelines, Docker, and Linux administration. Experienced in building scalable, secure, and highly available systems, implementing Infrastructure as Code (IaC), and automating deployments. Proficient in Python and Bash scripting, monitoring with Prometheus, CloudWatch, ELK, and improving system reliability through automation and observability practices.
Sapthagiri Degree College
Graduation in Computers · Computers
N/A – Present
Swift Soft
Cloud Dev Ops Engineer
September 1, 2023 – Present
Hyderābād, Telangana, India
Wissen
Trainee Engineer
July 1, 2022 – August 1, 2023
Bengaluru, Karnataka, India
Cloud Infrastructure Automation
June 15, 2026 – Present
Automated infrastructure deployment using Terraform modules for multi-environment environments (Dev, Staging, Production).
Kubernetes Deployment Platform
June 15, 2026 – Present
Built a containerized deployment platform using Docker and Kubernetes for microservices applications.
Automated CI/CD Pipeline (GitLab)
June 15, 2026 – Present
Developed a fully automated CI/CD pipeline with build, test, and deployment stages. Integrated security checks and automated testing, improving release quality.
AWS Certified Cloud Practitioner
AWS
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including personal projects in Cloud Infrastructure Automation, Kubernetes Deployment, and Automated CI/CD, demonstrates initiative and a continuous learning mindset. The professional experience as a Cloud DevOps Engineer at Swift Soft and Trainee Engineer at Wissen directly aligns with the target role, indicating a clear career path and commitment to the DevOps domain. The breadth of skills across multiple cloud platforms (AWS, Azure, GCP mentioned in summary) and tools (Terraform, Kubernetes, Docker, Jenkins, GitLab, Prometheus, ELK, CloudWatch) suggests adaptability and a willingness to explore different technologies, which is beneficial for a dynamic DevOps environment.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration with development and operations teams, suggesting an ability to work in cross-functional environments. The focus on automation and efficiency improvements (e.g., 70% provisioning efficiency, 60% deployment time reduction) indicates a results-oriented and proactive approach. Experience with troubleshooting performance issues in distributed systems points to problem-solving skills.