Usman Tariq — DevOps Engineer

Expertise in DevOps (7.0 yr.), Cloud Infrastructure Engineer (7.0 yr.).

Last verified on July, 2026

Core Skills

Bio Summary

DevOps Engineer with over 7 years of experience designing and automating scalable cloud infrastructures across AWS, Azure, and GCP, achieving up to 15% cost savings and deployment time reductions.
Proficient in CI/CD pipeline development using GitHub Actions, Jenkins, ArgoCD, and Flux, enhancing deployment frequency and reliability by 10-15%.
Expertise in container orchestration and microservices using Kubernetes, Docker, ensuring high availability and fault tolerance with 99.9% uptime.
Strong background in database optimization, monitoring, and incident management, improving system stability and reducing resolution times by 15%.

Technical Skills

Programming Languages	JavaScript
C++ Libraries and Tools	C/C++/C#
JavaScript Libraries and Tools	Puppeteer
Data Analysis and Visualization Technologies	Kibana
Databases & Management Systems / ORM	Elasticsearch, ELK stack (Elasticsearch, Logstash, Kibana), MongoDB, MySQL, PostgreSQL, Redis
Cloud Platforms, Services & Computing	AWS, Azure, GCP, PagerDuty
Azure Cloud Services	Azure Cloud Functions, Azure Services
Deployment, CI/CD & Administration	Ansible, ArgoCD, CircleCI, Flux, GitLab CI, Helm, New Relic
Collaboration, Task & Issue Tracking	Atlassian Confluence, Jira
Logging and Monitoring	Datadog, Logstash, Prometheus
Virtualization, Containers and Orchestration	Docker, Kubernetes, Terraform, Vagrant, VmWare
Version Control	Github Actions
Message/Queue/Task Brokers	Kafka
Operating Systems	Linux
Web/App Servers, Middleware	Nginx
QA, Test Automation, Security	Puppeteer
SDK / API and Integrations	RESTful API, Winforms
Scripting and Command Line Interfaces	Shell Scripts
Other Technical Skills	Office365, Opgenie

Work Experience

Infrastructure Engineer - Moodagent (Infrastructure Management and Cloud Migration)

Duration: 2023 - PRESENT
Summary:

Managed and optimized cloud infrastructure and CI/CD pipelines, migrating environments from VMware to AWS to improve cost efficiency and operational reliability
Implemented automation and monitoring solutions to ensure high availability and performance

Responsibilities:

Managed CI/CD pipelines using GitHub Actions to automate software delivery.
Collaborated with cross-functional teams using GitLab for code reviews and issue tracking.
Engineered migration strategy from VMware to AWS environments.
Deployed and managed AWS Cloud services ensuring high availability and fault tolerance.
Created and optimized automation scripts in Python and enhanced performance-critical components in Go.
Utilized ArgoCD, Argo Workflows, Helm for deployment pipeline streamlining.
Authored Terraform modules for multi-cloud deployments.
Standardized configuration management with Ansible and Puppet.
Optimized Jenkins CI/CD pipelines and integrated Opgenie for incident management.
Optimized PostgreSQL and MySQL databases and developed monitoring dashboards.

Technologies: AWS (EC2, Route53, S3, RDS, DynamoDB, IAM), GitHub Actions, GitLab, Python, Go, ArgoCD, Argo Workflows, Helm, Terraform, Ansible, Puppet, Jenkins, Opgenie, PostgreSQL, MySQL, JavaScript

Devops Engineer - Hybytes (Cloud Infrastructure and DevOps Operations)

Duration: 2022 - 2023
Summary:

Designed and implemented cloud architectures on AWS and managed GCP applications to deliver scalable and cost-effective cloud solutions
Enhanced monitoring, logging, and deployment automation to improve operational efficiency and reduce downtime

Responsibilities:

Designed cloud architectures for PaaS, IaaS, and hybrid solutions on AWS.
Managed builds, coordinated releases, and mentored development teams.
Deployed and configured ELK Stack for log analysis.
Implemented Amazon EKS for microservices deployment.
Customized Jira and Confluence configurations to improve team productivity.
Built RESTful APIs using Nginx as a reverse proxy.
Maintained GCP applications using Compute Engine, Kubernetes Engine, and Cloud Storage.
Optimized development environments with Vagrant.
Installed and managed monitoring tools like Dynatrace, Datadog, New Relic, and CloudWatch.
Automated Kubernetes deployments using GitOps workflows with Flux.

Technologies: AWS, Amazon EKS, ELK Stack (Elasticsearch, Logstash, Kibana), Jira, Confluence, Nginx, GCP (Compute Engine, Kubernetes Engine, Cloud Storage), Vagrant, Dynatrace, Datadog, New Relic, CloudWatch, Flux, Kubernetes

Devops Engineer - Empiric.ai (AWS and Azure Cloud Operations and CI/CD Automation)

Duration: 2017 - 2022
Summary:

Managed large-scale AWS cloud infrastructure and Azure solutions, optimizing deployment pipelines and system performance
Developed automation tools and monitoring solutions to enhance reliability and reduce deployment errors

Responsibilities:

Oversaw operations for over 100 AWS Cloud instances using AWS CLI.
Coordinated release efforts across distributed teams.
Distributed software artifacts to ensure consistent application delivery.
Streamlined routine tasks with Bash/Shell scripting.
Optimized systems using Kafka, MongoDB, and Redis.
Established continuous delivery environments with Docker.
Enhanced system performance through Linux Kernel optimizations.
Engineered scalable Azure solutions using VMs, Functions, and Storage.
Built CI/CD pipelines for databases using Jenkins and Docker Registry.
Created scalable applications with Docker and Kubernetes integrating monitoring tools.
Streamlined repository management with Bitbucket.
Designed automation tools with TypeScript and C++.
Configured CI/CD pipelines in CircleCI and managed PagerDuty configurations.
Administered Windows Server environments.

Technologies: AWS, AWS CLI, Azure (VMs, Functions, Storage), Bash, Shell scripting, Kafka, MongoDB, Redis, Docker, Kubernetes, Jenkins, Docker Registry, Datadog, Prometheus, Grafana, OpenTelemetry, Bitbucket, TypeScript, CircleCI, PagerDuty, Windows Server, C++

Education

University of Central Punjab
Bachelors in Computer Science
2013 - 2017
Govt Science College
2011 - 2013

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