Muhammad Adil Amir
Verified Expert in Engineering
DevOps Engineer and Developer
Lahore, Punjab, Pakistan
Toptal member since May 26, 2026
Adil is a senior DevOps and platform engineer specializing in AWS, Kubernetes, Terraform, and GCP. He designs scalable cloud-native infrastructure, high-availability platforms, and automated CI/CD systems for modern distributed applications. His expertise spans observability, infrastructure automation, container orchestration, and performance optimization, with a strong focus on reliability, scalability, and operational excellence.
Portfolio
Experience
- Docker - 5 years
- Helm - 4 years
- Terraform - 4 years
- Amazon Web Services (AWS) - 4 years
- CI/CD Pipelines - 4 years
- Amazon EKS - 4 years
- Kubernetes - 4 years
- Observability - 4 years
Preferred Environment
MacOS, Amazon Web Services (AWS), Kubernetes, Docker, Helm, Ansible, Terraform, Visual Studio Code (VS Code), GitHub Actions, Slack
The most amazing...
...systems I’ve designed are cloud-native Kubernetes platforms that improved uptime, automation, and deployment reliability at scale.
Work Experience
Senior DevOps Engineer
Nexario
- Architected production-grade Kubernetes platforms on EKS and GKE, supporting scalable, highly available microservices environments.
- Designed GitOps-driven CI/CD workflows using ArgoCD, Helm, and GitHub Actions, enabling reliable zero-downtime deployments.
- Reduced manual infrastructure provisioning effort by 60% through reusable Terraform modules and standardized multi-environment automation.
- Built centralized observability platforms using Prometheus, Grafana, Loki, Thanos, and OpenTelemetry, improving monitoring visibility and troubleshooting efficiency.
- Resolved complex 502/503/504 production issues by optimizing ingress configurations, gateway routing, container health checks, and service communication flows.
- Strengthened platform security through RBAC, IAM integration, and least-privilege access controls management practices.
- Reduced cloud infrastructure costs by 25% to 35% using autoscaling strategies, workload optimization, and efficient Kubernetes resource allocation.
- Supported AI/ML deployment environments with GPU-enabled compute infrastructure and observability tooling.
- Automated operational workflows and collaborated with engineering teams to improve platform reliability, deployment consistency, and developer experience.
DevOps Engineer
Aquila360
- Managed scalable cloud infrastructure across AWS and Azure, supporting secure and highly available production environments for microservices applications.
- Built and maintained automated CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, and Helm, improving deployment consistency and release efficiency.
- Operated Kubernetes platforms on EKS and AKS, improving deployment reliability, scalability, and operational stability across production workloads.
- Developed reusable Terraform modules to standardize infrastructure provisioning, accelerate environment set up, and reduce manual configuration effort.
- Implemented centralized monitoring, logging, and alerting solutions to improve system visibility, proactive issue detection, and operational awareness.
- Automated infrastructure and deployment workflows to improve operational efficiency and reduce repetitive manual tasks across environments.
- Strengthened cloud and platform security using IAM, RBAC, network isolation, secure VPC architectures, and least-privilege access practices.
- Troubleshot production issues across Kubernetes, networking, infrastructure, databases, and application layers to maintain platform reliability and service continuity.
Experience
Social Media MLS
Centralized DevOps Platform Architecture
NurseFlow Healthcare Application
Education
Bachelor's Degree in Computer Engineering
Comsats University Islamabad Lahore Campus - Lahore, Pakistan
Skills
Libraries/APIs
React, Playwright, Node.js
Tools
Helm, GitHub, Ansible, Terraform, Amazon EKS, Jira, Azure Network Security Groups, AWS CodeDeploy, VPN, Slack, GitLab CI/CD, AWS IAM, Google Kubernetes Engine (GKE), AWS Command Line Interface (CLI), Grafana, Amazon CloudWatch, Loki, Amazon Elastic Container Registry (ECR), Jenkins, Azure Kubernetes Service (AKS), Amazon Simple Notification Service (SNS), Amazon Elastic Container Service (ECS), Git, Amazon CloudFront, Pytest, TruffleHog, NGINX, Caddy Server, Amazon Simple Queue Service (SQS)
Paradigms
Continuous Delivery (CD), Continuous Integration (CI), DevOps, Role-based Access Control (RBAC), Event-driven Architecture, Serverless Architecture, Microservices, DevSecOps
Platforms
Amazon Web Services (AWS), Kubernetes, Docker, Amazon EC2, MacOS, Visual Studio Code (VS Code), Linux, Google Cloud Platform (GCP), AWS Lambda, NVIDIA CUDA, Azure
Languages
Python, Bash Script, TypeScript, JavaScript
Storage
Amazon Aurora, Google Cloud SQL, Amazon S3 (AWS S3), Azure SQL
Other
CI/CD Pipelines, Infrastructure as Code (IaC), Observability, AWS DevOps, AWS VPN, DevOps Engineer, Site Reliability Engineering (SRE), Architecture, Cloud Security, AWS Cloud Security, Technical Documentation, Dynamic Application Security Testing (DAST), Static Application Security Testing (SAST), Innovation, Web Development, Data Communication, Web & Mobile Applications, Internet of Things (IoT), Machine Learning, GitHub Actions, Cost Analysis, Cost Reduction & Optimization (Cost-down), Cursor AI, Argo CD, AWS ECS Fargate, Monitoring, Prometheus, Pub/Sub, OpenTelemetry, Azure CLI, Cloudflare, Snyk, AlloyDB, Trivy, High Availability (HA), Security, Envoy Gateway, Infrastructure Automation, Terraform Cloud, Azure Blob Storage, GPU Computing
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