Diwakar Singh

DevOps Engineer

DevOps Engineer specializing in AWS, Kubernetes, Terraform, CI/CD and production cloud infrastructure.

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99.9%Uptime in production

30%Faster deployments with CI/CD

500+Containers monitored

35+Tender architectures designed

About

I build cloud infrastructure that doesn’t break. At Sharajman Technologies I design CI/CD pipelines, run Kubernetes clusters and architect fault-tolerant systems for 1000+ concurrent users, while completing an M.Tech in Cloud Computing at BITS Pilani.

diwakar.singh8480@gmail.com +91 87559 58480 LinkedIn GitHub

Skills

From code quality gates to multi-AZ provisioning, tested in production.

CI/CD & GitOps: Jenkins, GitHub Actions, ArgoCD, GitLab, Git, GitHub
Cloud: AWS, EC2, VPC, S3, ALB, CloudFront, RDS, Route 53, Auto Scaling, EKS, ECS, Fargate, ECR
IaC & Containers: Terraform, Ansible, Helm, Docker, Kubernetes, Azure Container Apps
Observability: Prometheus, Grafana, Loki, CloudWatch, cAdvisor, Portainer
DevSecOps & Reliability: SonarQube, OWASP, HashiCorp Vault, IAM, High Availability, Disaster Recovery
Scripting, OS & DB: Python, Bash, Linux (Ubuntu, CentOS), PostgreSQL, MySQL

Experience

Where I’ve done the real work.

DevOps Engineer, Sharajman Technologies

March 2024 to present · Noida, India

Built CI/CD pipelines with vulnerability scanning and compliance checks, cutting deployment time by 70% and removing manual steps.
Migrated a client’s legacy application from an on-premises data center to AWS and rebuilt it as microservices.
Automated multi-cloud provisioning with Terraform, cutting environment setup time by 70%.
Troubleshot Kubernetes workloads, ran root cause analysis on incidents and shipped permanent fixes.
Built Prometheus and Grafana dashboards and alerts, cutting unplanned downtime by 15%.
Automated backups, server sync and metrics collection with Bash, saving 3 to 4 hours of manual work daily.
Architected cost-efficient, security-hardened infrastructure for 100+ client tenders.

Selected work

Infrastructure built to survive production.

Production-Grade Highly Available EKS Cluster on AWS

Kubernetes 1.30, Terraform, ArgoCD, Helm, Velero, Prometheus, Loki

A cluster spread across three availability zones with private-only networking, GitOps delivery and full disaster recovery.

Built a secure multi-AZ K8s cluster on AWS with private API access and hardened security settings, using AWS Load Balancer Controller for automated load balancing and Cluster Autoscaler to add or remove nodes for elastic capacity.
Reduced manual operations by automating deployments with GitOps, configured monitoring and logging, setting up Velero disaster recovery, keeping the application observable, self-healing and recoverable.