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
- Amazon Web Services (AWS) - 5 years
- Terraform - 5 years
- Docker - 5 years
- Kubernetes - 5 years
- Amazon EKS - 5 years
- CI/CD Pipelines - 5 years
- Helm - 4 years
- Observability - 4 years
Work Experience
Senior DevOps Engineer
Nexario
- Architected and operated production Kubernetes platforms on EKS and GKE, supporting scalable, highly available microservices workloads across multiple environments.
- Led a production AWS-to-GCP cloud migration, executing staged cutovers of Kubernetes workloads and supporting infrastructure while maintaining service availability and minimizing production risk.
- Automated application delivery using ArgoCD, Helm, GitHub Actions, and GitOps workflows, standardizing Kubernetes releases and reducing manual deployment effort across production environments.
- Developed reusable Terraform modules and multi-environment automation, reducing manual infrastructure provisioning effort by ~60% while improving consistency across cloud environments.
- Built centralized observability using Prometheus, Grafana, Loki, Thanos, and OpenTelemetry, providing unified metrics, logs, and distributed tracing for production workloads.
- Resolved complex 502/503/504 production issues by optimizing ingress configurations, gateway routing, container health checks, and service communication flows.
- Right-sized over-provisioned Redis containers, eliminating ~40% excess allocated resources through utilization analysis, optimized requests/limits, and Kubernetes resource allocation.
- Built metrics pipeline tracking DB/RabbitMQ connections by user across 145 RDS instances and 5 MQ clusters using IRSA+Vault read-only creds, Pushgateway, Prometheus, and Grafana dashboards.
- Led a production migration from NGINX to Envoy Proxy and a staged GitLab v17 to v18.11 upgrade, validating changes in non-production before rollout while minimizing disruption to engineering teams.
DevOps Engineer
Aquila360
- Led a 6-month migration of a monolithic application from EC2 Auto Scaling Groups to 13 containerized services on Amazon EKS, introducing HPA and improving compute utilization to contribute to a ~33% reduction in monthly cloud infrastructure costs.
- Architected and operated Kubernetes platforms across AWS EKS and Azure AKS for distinct production workloads, using Terraform to automate infrastructure, networking, access controls, and environment provisioning.
- Modernized manual EC2 releases with automated CI/CD and Helm-based Kubernetes deployments using GitHub Actions, GitLab CI, and Jenkins, improving deployment consistency and enabling independent service releases.
- Standardized Kubernetes delivery using reusable Helm charts, shared CI/CD workflows, and an S3-backed Helm repository, establishing consistent chart versioning, packaging, and deployments across environments.
- Built centralized observability with Prometheus, Grafana, Loki, and Promtail, using S3-backed log storage, and implemented OpenTelemetry distributed tracing for end-to-end visibility across service requests.
Project History
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, REST APIs, Playwright, Node.js
Tools
Helm, Ansible, Terraform, GitLab CI/CD, AWS IAM, Amazon EKS, Google Kubernetes Engine (GKE), AWS Command Line Interface (CLI), Grafana, Amazon CloudWatch, Loki, Amazon Elastic Container Registry (ECR), Amazon Simple Notification Service (SNS), Amazon Elastic Container Service (ECS), Git, Amazon CloudFront, Pytest, NGINX, Amazon Simple Queue Service (SQS), GitHub, Amazon Virtual Private Cloud (VPC), AWS Fargate, PgBouncer, GitLab, Caddy Server, Jira, Azure Network Security Groups, AWS CodeDeploy, VPN, RabbitMQ, AWS CloudTrail, AWS Glue, AWS Key Management Service (KMS), Vault, Slack, Jenkins, Azure Kubernetes Service (AKS), TruffleHog
Languages
Bash Script, TypeScript, JavaScript, Python, SQL
Paradigms
Role-based Access Control (RBAC), DevOps, Event-driven Architecture, Continuous Delivery (CD), Microservices, Continuous Integration (CI), Serverless Architecture, Azure DevOps, DevSecOps
Platforms
MacOS, Amazon Web Services (AWS), Kubernetes, Docker, Linux, Amazon EC2, AWS Lambda, Google Cloud Platform (GCP), Visual Studio Code (VS Code), NVIDIA CUDA, Azure
Storage
Amazon S3 (AWS S3), Amazon DynamoDB, Amazon Aurora, PostgreSQL, Databases, Google Cloud SQL, Azure SQL
Other
GitHub Actions, Cost Analysis, Cost Reduction & Optimization (Cost-down), Cursor AI, CI/CD Pipelines, AWS ECS Fargate, Infrastructure as Code (IaC), Site Reliability Engineering (SRE), Monitoring, Observability, Prometheus, OpenTelemetry, Cloudflare, Trivy, High Availability (HA), Envoy Gateway, Infrastructure Automation, AWS DevOps, AWS VPN, DevOps Engineer, Amazon RDS, Containerization, AWS Secrets Manager, Configuration Management, Database Optimization, Cloud, Argo CD, Pub/Sub, Azure CLI, Snyk, AlloyDB, Architecture, Cloud Security, AWS Cloud Security, Technical Documentation, Dynamic Application Security Testing (DAST), Static Application Security Testing (SAST), Innovation, Identity & Access Management (IAM), Kubernetes Event-driven Autoscaler (KEDA), Amazon MQ, Web Development, Data Communication, Web & Mobile Applications, Internet of Things (IoT), Machine Learning, Security, Terraform Cloud, Azure Blob Storage, GPU Computing
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