suresh nangina

Cloud DevOps Engineer

Key Strengths

Extensive hands-on experience across AWS and GCP cloud platforms, including EKS, GKE, S3, RDS, Compute Engine, and Cloud Storage.
Strong expertise in Kubernetes and containerization (Docker), with practical experience in orchestrating microservices and managing production workloads.
Proficient in Infrastructure as Code (Terraform) and CI/CD automation using Jenkins, GitHub Actions, and ArgoCD for reliable and repeatable deployments.
Demonstrated ability to improve system reliability (achieved 99.9% uptime) and reduce cloud costs (30% reduction) through strategic optimization and AIOps (Dynatrace).
Solid understanding and implementation of monitoring and observability tools like Dynatrace, Prometheus, Grafana, and CloudWatch for proactive issue detection and performance optimization.
Experience with various database technologies (MongoDB, PostgreSQL, Redis) in cloud-native environments, including performance tuning and caching strategies.
The candidate's technical skills and practical experience align very well with the requirements for a senior Cloud DevOps Engineer role.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data from psychometric test to objectively assess cultural fit.

Soft Skills & Operational Fit

Insufficient data from psychometric test to objectively assess soft skills and operational fit.

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About

I am writing to express my interest in the DevOps & Cloud Engineer role. I have 2+ years of hands-on experience managing and automating cloud infrastructure across AWS and GCP, with a strong focus on scalability, security, and cost optimization. My expertise includes Infrastructure as Code using Terraform, container orchestration with Kubernetes (EKS/GKE), and deploying microservices using Helm and GitOps workflows (ArgoCD). I have built and automated CI/CD pipelines using Jenkins, GitHub Actions, and GitLab CI, integrated with AWS ECR to ensure reliable deployments and smooth rollbacks. I have delivered measurable results, including a 30% reduction in cloud costs, 99.9% uptime, 50% improvement in API response times using Redis caching, and a 35% reduction in MTTR through AI-driven observability and monitoring. I am comfortable troubleshooting production issues and supporting highly available systems. I would welcome the opportunity to discuss how my skills and experience can contribute to your team.