DevOps Engineer

Open to full-time
Bio

Muhammad U. is a DevOps Engineer with over four years of experience in building and operating cloud-native infrastructure, primarily in AWS and Google Cloud environments. His core technology stack includes Kubernetes (EKS), Docker, and Terraform, through which he designs and manages scalable, high-availability systems. Muhammad builds CI/CD pipelines using Jenkins, GitLab CI, and GitHub Actions, integrating security tools like SonarQube and Trivy. He implements observability solutions with Prometheus, Grafana, and Datadog, and practices Infrastructure as Code with tools like Ansible and CloudFormation. Notable projects include architecting a production-ready Amazon EKS infrastructure using Terraform, and reducing cloud infrastructure costs by up to 90% through strategic optimizations. He successfully led a monolith to microservices migration on EKS, enhancing deployment reliability and system performance. Muhammad holds a Bachelor of Computer Science from the University of Peshawar and is Oracle Cloud Infrastructure certified. He is well-suited for roles that involve designing robust DevOps architectures and optimizing cloud operations for cost and performance efficiency.

Expertise
AWSKubernetesBashPythonRelational DatabaseSQLKafka
Video Intro
Assessments
APPLICANT AVG · 48%MUHAMMAD · 80%0255075100TopASSESSMENT SCORE (0–100)
  • Great on Implement LRU Cache AlgorithmMedium
  • Great on Design a High-Availability, Compliant EKS DeploymentMedium
  • Great on Design a Scalable and Compliant SaaS Platform ArchitectureHard
Projects

Amazon EKS Provisioning using Terraform

Designed and provisioned production-ready Amazon EKS infrastructure using Terraform with reusable modules, remote state management, IAM roles, VPC networking, managed node groups, and autoscaling, enabling consistent and automated Kubernetes deployments.

End-to-End Observability & Monitoring Platform

Implemented a complete observability stack using Prometheus, Grafana, Loki, OpenTelemetry, and Jaeger for infrastructure, applications, and databases. Configured dashboards, log aggregation, distributed tracing, alerting, and Slack/Email notifications to improve system visibility and incident response.

AI-Powered CI/CD Pipeline

Built an end-to-end CI/CD pipeline for Development, Staging, and Production environments using GitHub Actions and Google Cloud Build. Integrated AI-based failure detection, automated testing, security scanning, deployment approvals, and rollback strategies to improve deployment reliability.

Cloud Cost Optimization

Reduced cloud infrastructure costs by up to 90% through networking and architecture optimization, including CDN redesign, storage optimization, caching improvements, and traffic routing enhancements while maintaining application performance and availability.

Monolith to Microservices Migration

Led the migration of a monolithic application to a Kubernetes-based microservices architecture using Docker and Amazon EKS. Designed the complete platform including CI/CD with Jenkins, security scanning using Trivy, SonarQube, and OWASP Dependency-Check, GitOps deployment with ArgoCD, and end-to-end monitoring using Grafana, Prometheus, and Loki with Slack and email alerting.

AWS Three-Tier Architecture Deployment

Architected and deployed a highly available three-tier application on AWS using public/private subnets, Application Load Balancer (ALB), Auto Scaling Groups (ASG), NAT Gateway, AWS WAF, VPN connectivity, and secure networking following AWS best practices.

On-Premises to Private Cloud Migration

Successfully migrated enterprise applications from on-premises infrastructure to a private cloud environment using a lift-and-shift approach. Planned migration strategy, minimized downtime, validated workloads, and optimized infrastructure for improved scalability and operational efficiency.

Experience
  1. DevOps Engineer

    ProsperTech.io· AI/MLDec 2025Present
    • Reduced GCP networking costs by $1,655/month on an Education App by diagnosing Tel Aviv anycast misrouting and migrating to Bunny CDN with a validated staging cutover.
    • Architected staging and production environments on GCP using Cloud Armor (WAF), Google Cloud Load Balancer, and Managed Instance Groups for autoscaling and high availability.
    • Managed AWS environments (EC2, EKS, S3, RDS, SQS, Lambda) including stateful Kubernetes workloads with persistent volume claims and StatefulSets.
    • Built multi-stage GitHub Actions CI/CD pipelines (dev → staging → prod) using IAP tunnels for secure deployment to private VPC resources.
    • Deployed a self-hosted LLM inference stack (Ollama + Docker Compose, NVIDIA L4) with a systemd idle-monitor to auto-shutdown GPU VMs after 15 minutes of inactivity, reducing idle compute to near zero.
    • Deployed Python scripts as Cloud Run scheduled jobs for cron-like automation tasks.
    • Built and operated a hybrid observability stack: self-hosted Prometheus + Grafana + Loki on GCP with Slack alerting, alongside Datadog APM for application performance and ServiceNow integration for ITSM workflows.
    • Authored and maintained modular Terraform configurations for reproducible infrastructure provisioning across AWS and GCP environments.
    • Ensured compliance with SOC 2 and HIPAA through access control audits, encryption enforcement, secrets management, and policy reviews; implemented resource tagging strategies for cost attribution and FinOps governance.
    GCPAWSTerraformGitHub ActionsDockerPrometheusGrafanaDatadogPythonkubernetesEKSArgocd
  2. DevOps Engineer (Ops Team)

    Systems LimitedJul 2023Dec 2025
    • Maintained high availability and reliability of production Linux-based systems (Apollo, JBoss) across 24/7 operations in collaboration with cross-functional ops teams.
    • Designed, deployed, and managed Kubernetes (EKS) clusters for stateful and stateless workloads; provisioned infrastructure using Terraform for reproducible, modular IaC deployments.
    • Built and maintained Prometheus and Grafana observability stack — authored custom alerting rules, runbooks, and dashboards — reducing incident response time by 25% via structured escalation.
    • Managed PostgreSQL and MySQL databases on RDS/Aurora including backup strategies, performance tuning, high-availability configuration, and disaster recovery planning.
    • Designed and implemented 3-tier AWS architecture using VPC, public/private subnets, NAT gateways, and security group chaining following CIS benchmark hardening guidelines.
    • Leveraged Datadog for infrastructure monitoring and APM; integrated ServiceNow for ITSM ticket management and incident lifecycle tracking.
    • Applied FinOps principles with cloud resource tagging policies to monitor and govern cloud spend across AWS environments.
    LinuxKubernetesTerraformPrometheusGrafanaPostgreSQLMySQLAWSDatadog
  3. DevOps Engineer

    Digital NucleusSep 2022Jun 2023
    • Developed and maintained CI/CD pipelines in Jenkins and GitLab CI for production-grade SaaS environments, integrating SonarQube, OWASP Dependency Check, and Trivy into a full DevSecOps workflow.
    • Architected scalable, high-availability cloud infrastructure using Docker, Kubernetes, and AWS, ensuring uptime and platform reliability for stateful services.
    • Automated infrastructure provisioning with Terraform, reducing deployment errors by 40% and enabling repeatable, modular IaC across environments.
    • Deployed and managed Prometheus and Grafana monitoring stacks; administered PostgreSQL databases with backup, recovery, and performance tuning procedures.
    • Enforced resource tagging, cost governance, and Linux OS hardening (via Ansible) across all managed infrastructure.
    JenkinsGitLab CISonarQubeOWASP Dependency CheckTrivyDockerKubernetesAWSTerraformPrometheusGrafanaPostgreSQLAnsibleWAFCloud Armour
  4. DevOps Engineer

    IT WalySep 2021Sep 2022
    • Architected and managed Kubernetes clusters using Helm for stateful and stateless deployments; implemented GitOps-based continuous delivery via ArgoCD.
    • Automated Linux-based infrastructure provisioning and OS hardening using Ansible and Terraform; maintained system reliability and performance under high compute loads.
    • Integrated Prometheus/Grafana monitoring with Slack alerts and ServiceNow incident workflows, reducing MTTR by 35%.
    • Administered Kafka messaging infrastructure for event-driven workloads; conducted load and reliability testing to validate distributed system performance.
    • Managed PostgreSQL instances including schema maintenance, backup validation, and performance profiling.
    KubernetesHelmGitOpsArgoCDAnsibleTerraformPrometheusGrafanaSlackKafkaPostgreSQL
Education
  1. Bachelor of Computer Science

    University of PeshawarPeshawar, Pakistan2018 — 2022
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Islamabad, Pakistan · 3-4 years experience

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