Cloud DevOps Engineer with 6+ years in AWS, CI/CD, and Kubernetes.
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Assessing your cultural and operational fit
Results-oriented Cloud DevOps Engineer with 6+ years of experience — 4+ years in Cloud/DevOps and 2+ years in .NET development and test automation. Proven expertise architecting and operating AWS infrastructure, building end-to-end CI/CD pipelines, and containerising microservices on Kubernetes. Delivered infrastructure-as-code solutions that reduced deployment times, improved system reliability, and cut cloud costs across enterprise environments.
Dhaanish Ahmed College of Engineering
Bachelor of Engineering
N/A – June 30, 2018
HCL Technologies
DevOps Engineer
July 1, 2024 – April 1, 2026
Chennai, Tamil Nadu, India
Cognizant Technology Solutions
Associate - DevOps & .NET Developer
November 1, 2021 – July 1, 2024
Chennai, Tamil Nadu, India
Vega Intellisoft Solutions Pvt. Ltd.
.NET Developer & QA Engineer
February 1, 2020 – October 1, 2021
Chennai, Tamil Nadu, India
Cloud Infrastructure Modernisation
June 11, 2026 – Present
Migrated on-premise workloads to AWS, designing multi-region, highly available architectures using EC2, EKS, RDS, and CloudFront. Provisioned infrastructure via modular Terraform templates, cutting environment setup time from days to under 2 hours. Implemented VPC peering, NAT Gateways, and security group policies to enforce network segmentation and achieve zero unauthorised access incidents.
CI/CD Pipeline Automation
June 11, 2026 – Present
Built end-to-end pipelines using Jenkins, GitHub Actions, and AWS CodePipeline, enabling multiple daily releases across DEV, Staging, and Production. Containerised microservices with Docker and deployed to Amazon EKS with auto-scaling, supporting 3x traffic spikes without performance degradation. Integrated SonarQube for static code analysis and Apache Maven for artifact management, reducing build cycle time by ~30%.
Cloud Cost Optimisation & Compliance Monitoring
June 11, 2026 – Present
Designed S3 lifecycle policies and EBS/EFS tiering strategies, achieving ~20% reduction in monthly storage spend. Configured CloudWatch dashboards and CloudTrail audit trails for real-time alerting and compliance reporting across all AWS accounts. Automated resource tagging and idle resource detection using boto3 scripts, reducing untracked spend and improving cost attribution accuracy.
Cultural Fit Analysis
The candidate's project diversity, ranging from cloud infrastructure modernization to CI/CD automation and cost optimization, indicates adaptability and a broad skill set relevant to a Cloud DevOps Engineer role. Their experience across different companies (HCL Technologies, Cognizant) and roles (DevOps Engineer, .NET Developer) shows a willingness to learn and evolve. The detailed descriptions of collaboration in Agile teams and leading code review processes suggest a good cultural fit for a collaborative, fast-paced engineering environment.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their detailed descriptions of maintaining high uptime SLAs, reducing provisioning times, improving release stability, and resolving production incidents. Their experience in Agile/Scrum environments with JIRA indicates good team collaboration and process adherence. The emphasis on security, cost optimization, and compliance reflects a mature, responsible approach to DevOps.