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Vetted Infrastructure as Code Professionals

Pre-screened and vetted.

DA

Mid-level DevOps/Cloud Engineer specializing in AWS EKS and Terraform

United States5y exp
Specialized Delivery ServicesZiyotek Institute of Technology
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SK

Entry-Level DevOps Engineer specializing in CI/CD automation and cloud infrastructure

United States0y exp
VerzeoUniversity of Houston
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PP

Intern Full-Stack Software Engineer specializing in cloud deployment and data analytics

Remote, USA2y exp
TydiiUniversity of Texas at Arlington
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PC

Mid-level DevSecOps Engineer specializing in AWS cloud security

Oneida, New York7y exp
Cloud Nexus Hub LLC
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TN

Thimone Noupa

Screened

Mid-level DevOps Engineer specializing in AWS, Kubernetes, and CI/CD automation

Dallas, TX7y exp
Webforx TechnologyAfrican Institute, Cameroon

DevOps/cloud infrastructure engineer focused on AWS automation: built GitHub Actions/Jenkins pipelines for containerized deployments with strong security controls and rollback, and implemented Terraform-based AWS provisioning with modular code and remote state/locking. Has led on-prem to AWS migration cutovers with structured risk/rollback planning and stabilization, but has not worked directly with IBM Power/AIX/LPARs or PowerHA/HACMP.

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SH

Senior Full-Stack AWS Developer specializing in cloud-native microservices and serverless systems

Irving, TX4y exp
Chicago Education Advocacy CooperativeSathyabama Institute of Science and Technology
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MK

Mid-level Quantitative Developer specializing in low-latency trading systems

Lahore, Pakistan5y exp
FreelanceUniversity of Roehampton

Backend/ML engineer with deep fintech and marketplace experience: built a real-time financial analytics + algorithmic trading platform (Python/Postgres/Kafka/Redis) and drove major DB performance wins (10x faster analytics; sub-10ms response consistency). Also shipped an end-to-end ML recruitment matching platform (scraping/ETL/modeling/Django deployment) with reported 92% matching accuracy, and emphasizes production reliability via monitoring, blue-green deploys, and robust workflow error handling.

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ES

Senior Legacy Systems Engineer specializing in AIX/Solaris modernization and cloud migration

Plano, TX10y exp
KelltonVista College
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NO

Mid-level DevOps Engineer specializing in cloud infrastructure and CI/CD automation

5y exp
Trinitech ConsultingQueen Margaret University
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SG

Mid-level Full-Stack Software Engineer specializing in cloud microservices and data/ML

Huntsville, AL5y exp
The University of Alabama in HuntsvilleUniversity of Alabama in Huntsville
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RM

Mid-level Python Developer specializing in cloud-native APIs and microservices

Plymouth, MN5y exp
Tekpro IT SolutionsSacred Heart University
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MZ

Senior DevSecOps Engineer specializing in CI/CD and Kubernetes security

Moscow, Russia3y exp
VSK insuranceMoscow Academy of Industry and Finance
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ZE

Junior DevOps Engineer specializing in DevSecOps and cloud security

Cairo, Egypt2y exp
BevatelEgyptian Chinese University
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ZP

Entry-Level Cybersecurity Analyst specializing in SOC monitoring and cloud security

San Jose, CA
San José State University
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ZP

Entry-Level Cybersecurity Analyst specializing in SOC monitoring and cloud security

San Jose, CA
San José State University
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AC

Mid-level Cloud/DevOps Engineer specializing in AWS infrastructure and security compliance

Noida, India6y exp
uCertifyInternational Institute of Technology and Management, Murthal

Cloud infrastructure and security-focused candidate with hands-on AWS experience (Terraform for EC2/VPC, AMI copies across regions) and CI/CD exposure (Jenkins/Git/Docker, AWS CodePipeline). Has practical production troubleshooting experience around performance/monitoring and produces RCAs, but does not have direct IBM Power/AIX/PowerHA migration experience.

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AF

Andrew Fu

Screened

Backend/infrastructure engineer in the EBS org focused on global server lifecycle and fleet reliability. Led a major modernization from manual, ticket-driven recovery to centralized Python services and operator tooling with DynamoDB-backed state, strong auth/allowlisting, and CloudWatch monitoring, plus an AWS Glue/S3/SNS data pipeline to join server and hardware datasets for global operational querying and automated recovery.

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