M
Rawat Meghna
From India 11:22 AM (GMT-04:00)
$12/hr or $10,000/yr

Active over a week ago


Member since May 2026

Share this profile:

AWS DevOps Engineer

DevOps Engineer
Available for hire
Years of experience
3+ years
Experience level
Mid-level
Available for
Full-time
Download Resume / CV

With 3.5 years of experience across the full DevOps lifecycle — from cloud infrastructure to security automation — I bring a proven track record of building reliable, scalable, and cost-efficient systems.

  1. Cloud & AWS — EC2, EKS, ECS, Lambda, RDS, S3, CloudFront, Route 53, IAM, Secrets Manager, CloudWatch, VPC, AWS Organizations
  2. CI/CD — Jenkins, GitHub Actions, ArgoCD (GitOps); pipelines for 20+ microservices; 70% reduction in manual effort
  3. Kubernetes — EKS production clusters, Helm, Karpenter autoscaling, HPA/VPA, 99.9%+ uptime, 35% cost reduction
  4. IaC — Modular Terraform across Dev/Staging/Prod; Terragrunt; remote state with S3 + DynamoDB
  5. Service Mesh — Istio with mTLS, canary deployments, traffic shaping
  6. DevSecOps — Trivy, SonarQube, OWASP, Vault, IAM least-privilege, Kubernetes RBAC
  7. Observability — Prometheus, Grafana, ELK Stack, CloudWatch, distributed tracing (Jaeger)
  8. Networking — Multi-AZ VPCs, ALB/NLB, Transit Gateway, Nginx Ingress, blue/green deployments
  9. Containers — Docker, multi-stage builds, container image optimization, ECR

Skills

No skills.

Employment History

AWS DevOps at Zarthi 2025 - 2026
1.Architected a Jenkins CI/CD Pipeline using Bitbucket as the main SCM Tool and introduced Webhooks driven deployment to Dev and Staging Environments and Manual Approval Gates for the Production Environment, thereby accelerating the release velocity by 40%. 2.Implemented a resilient service mesh to manage the flow of communications between multiple microservices using Istio Gateways, Virtual Services, and Destination Rules to achieve 99.99% high availability. 3. Developed a robust Kubernetes deployment strategy through the utilization of Helm Charts to manage microservices applications in the Dev, Stage, and Production environment, where environment-specific configuration was achieved through the utilization of modular values files, while ensuring the security of sensitive data through the utilization of External Secrets AWS Secrets Manager integration, thus allowing the promotion of applications from the QA environment to the Production environment seamlessly while ensuring 99.99% system reliability through the utilization. 3. Created high-performance multi-stage Docker files to minimize the size of the Docker Images and attack surfaces and integrated SonarQube, OWASP into the CI/CD Pipeline to achieve a significantly strengthen security posture. 4. Established a comprehensive Observability suite using the PLG Stack: Prometheus, Grafana, and Loki to monitor the system in real-time and aggregated logs and performed rigorous performance benchmarking using JMeter to ensure system resilience. 5. Administered Amazon EKS Infrastructure for TWC and utilized AWS ACM to automate TLS Certificate Management to ensure secure and encrypted communications and minimizing compute costs by 35% using AWS Resource Optimization techniques.
DevOps Engineer at ERICSSON, Pvt Ltd 2022 - 2025
1.Governed the life cycle of Amazon EKS clusters, including the smooth upgrade of versions and the end-to-end deployment of 100+ microservices; designed and configured Kubernetes manifests such as Deployments, Services, HPA, and Ingress for 99.99% high availability and scaling. 2.Accelerated the throughput of the CI/CD process using the Jenkins Master-Agent architecture for offloading build execution and reducing the load on the Jenkins Master; refined the build process from source checkout to Multi-stage Docker build and deployment using Helm for 30% reduction in build time. 3.Built the low-latency networking layer using AWS Route53 for complex DNS mappings and API Gateway for API request routing and integrated AWS Elastic Load Balancer and Istio for enterprise-grade traffic management for 100+ customers and cutting latency by 30%. 4.Optimized database performance and scalability using Amazon RDS Proxy for lower CPU overhead and improved database performance. Successfully deployed and hosted Single Page Applications (SPA) using Amazon S3 and CloudFront for content delivery. 5.Set up a GitOps deployment system using Argo CD, making Git the single source of truth for cluster configurations allowing zero-touch deployments across multiple EKS clusters in different regions. 6. Integrated Datadog APM and Log Management into the microservices stack to enable distributed tracing, anomaly detection, and centralized log analysis; correlated traces with infrastructure metrics to cut Mean Time to Detection (MTTD). 7.Enhanced cluster scalability and cut costs by implementing Karpenter for on-demand node provisioning, replacing the legacy Kubernetes Cluster Auto scaler.

Education

Bachelor of Engineering at Uttarakhand Technical University 2018 - 2022