Preye is available for hire

Preye Ladei

Verified Expert in Engineering

DevOps and Site Reliability Engineer and Developer

Burleson, TX, United States

Toptal member since May 13, 2026

Expertise

AWS Slack Development Cloud Engineering AWS DevOps Site Reliability Jira Java Docker Kubernetes Terraform Ansible Linux Python Spring Boot

Bio

Preye is a Senior Cloud Engineer and SRE with 5+ years of experience designing and automating secure, highly available cloud infrastructure across GCP, AWS, and Azure. He's skilled in Terraform, hybrid cloud networking, Kubernetes, DR/HA architectures, enterprise migrations, CI/CD, and operational resilience, supporting regulated enterprise environments.

Portfolio

Independent

GCP DevOps, Azure, AWS CloudFormation, Python, Kubernetes, Incident Response...

Freelance Client

Amazon Web Services (AWS), Terraform, CI/CD Pipelines, Windows PowerShell...

Freelance Client

ELK (Elastic Stack), Amazon Web Services (AWS), AWS CloudFormation, Autoscaling...

Experience

Amazon Web Services (AWS) - 6 years
GCP DevOps - 5 years
Terraform - 5 years
Python - 5 years
Ansible - 5 years
Google Cloud Platform (GCP) - 4 years
Jenkins - 4 years
Incident Response - 4 years

Preferred Environment

Docker, Kubernetes, GitHub Actions, Terraform, Ansible, Prometheus, Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), GCP DevOps

The most amazing...

...work I've done is building and automating a multi-cloud Kubernetes CI/CD platform that reduced deployment time by 40% and improved production uptime to 99.99%.

Work Experience

Cloud DevOps & Site Reliability Engineer

2024 - 2026

Independent

Architected and managed hybrid cloud infrastructure across AWS, Azure, and GCP, achieving 99.99% uptime for critical production services.
Designed and optimized Jenkins and GitHub Actions CI/CD pipelines, accelerating release cycles by 35% while reducing deployment failures.
Led root-cause analysis and post-incident reviews for production outages, improving system reliability and response efficiency.
Designed and supported hybrid multi-cloud infrastructure across GCP, AWS, and Azure, including secure networking, VPN connectivity, disaster recovery automation, and high-availability architecture supporting mission-critical enterprise applications.
Collaborated with security and infrastructure teams to implement secure cloud controls, including IAM hardening, encrypted communications, access segmentation, and operational compliance requirements across enterprise cloud environments.

Technologies: GCP DevOps, Azure, AWS CloudFormation, Python, Kubernetes, Incident Response, Autoscaling, Jira, Slack, Monitoring, Bash Script, Terraform, Ansible, Jenkins, GitHub Actions, Site Reliability Engineering (SRE), DevOps, Amazon Web Services (AWS), API Gateways, Virtual Private Cloud (VPC), Identity Aware Proxy (IAP), FedRAMP, AWS DevOps, GitLab CI/CD, AWS Lambda, Continuous Integration (CI), Networking

Cloud Engineer

2022 - 2024

Freelance Client

Designed scalable multi-cloud environments across AWS, Azure, and GCP, increasing availability for enterprise applications to 99.99%.
Implemented Infrastructure as Code using Terraform and Ansible, reducing provisioning time by 45% and improving deployment consistency.
Built and maintained CI/CD pipelines using Jenkins, GitLab CI/CD, and Azure DevOps, reducing rollback incidents by 30%.
Resolved high-priority cloud incidents within SLA timelines while providing tier-3 production support.

Technologies: Amazon Web Services (AWS), Terraform, CI/CD Pipelines, Windows PowerShell, AWS CloudFormation, Splunk, GitHub Actions, Ansible, Jira, Slack, Monitoring & Alerting, Azure DevOps, F5 Load Balancer, Cloud, Hybrid Cloud Infrastructure, AWS DevOps, GitLab CI/CD, AWS Lambda, Continuous Integration (CI), Networking

Site Reliability Engineer

2020 - 2022

Freelance Client

Automated cloud infrastructure deployments using Terraform, Ansible, and CloudFormation, reducing deployment time by 40%.
Supported 24/7 production environments and maintained operational stability for customer-facing applications.
Implemented monitoring and alerting solutions with Prometheus, Grafana, ELK Stack, and Splunk, reducing MTTR by 25%.

Technologies: ELK (Elastic Stack), Amazon Web Services (AWS), AWS CloudFormation, Autoscaling, Cloud Optimization, Bash Script, Python, Terraform, Ansible, Jenkins, GitHub Actions, Kubernetes, Linux, GitLab CI/CD, Continuous Integration (CI)

Experience

Java eCommerce

https://github.com/preyelg/java-ecommerce

A Spring Boot REST API deployed via Docker, Kubernetes (EKS), and Jenkins CI/CD, and monitored using Prometheus and Grafana. The CI/CD is automated via Jenkins pipeline to build, push a Docker image, and deploy to EKS.

Certifications

JUNE 2025 - JUNE 2028

AWS Certified Developer Associate

Amazon Web Services

Skills

Tools

Slack, Jenkins, Terraform, Ansible, AWS CloudFormation, Jira, Grafana, Splunk, ELK (Elastic Stack), GitLab CI/CD, F5 Load Balancer

Platforms

AWS IoT, Amazon Web Services (AWS), Docker, Kubernetes, Linux, AWS ALB, Google Cloud Platform (GCP), AWS Lambda, Azure

Languages

Python, Bash Script, Java

Frameworks

Spring Boot, Windows PowerShell

Paradigms

DevOps, Azure DevOps, Continuous Integration (CI)

Other

GitHub Actions, Prometheus, GCP DevOps, Incident Response, Autoscaling, Monitoring, Java 17, CI/CD Pipelines, Site Reliability Engineering (SRE), API Gateways, Monitoring & Alerting, Cloud Optimization, Virtual Private Cloud (VPC), Cloud, AWS DevOps, Networking, Identity Aware Proxy (IAP), FedRAMP, Hybrid Cloud Infrastructure

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