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Vetted Jira Professionals
Pre-screened and vetted.
Senior Software QA Engineer specializing in manual and automated testing across web, mobile, and embedded
Senior Technical Support Engineer specializing in cloud and distributed systems
Mid-Level Full-Stack Software Engineer specializing in Java/Spring, React, and AWS
Mid-Level Full-Stack Software Engineer specializing in Cloud, Microservices & Distributed Systems
Mid-Level Full-Stack Software Developer specializing in enterprise web applications
Mid-level Software Test Coordinator specializing in UAT and defect management
Senior Test Automation Engineer specializing in QA automation and accessibility testing
Mid-Level Software Engineer specializing in full-stack web development and cloud DevOps
Mid-level AI/ML Engineer specializing in cloud MLOps and scalable model deployment
Mid-level Full-Stack Developer specializing in cloud-native FinTech and AI integrations
Mid-level Data Scientist / Machine Learning Engineer specializing in NLP and computer vision
Senior Mobile Engineer specializing in iOS/SwiftUI and cross-platform mobile
Senior Software Engineer specializing in cloud-native Java microservices
Intern Full-Stack Software Engineer specializing in AI-powered web applications
Mid-level .NET Developer specializing in cloud-native web applications on Azure
Senior CRM Specialist specializing in omnichannel marketing automation
Senior Full-Stack JavaScript Developer specializing in React and Node.js
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Executive IT Leader / Deputy CIO specializing in enterprise architecture, cybersecurity, and cloud transformation
Staff Customer Success/Technical Account Manager specializing in Enterprise Cloud & FinOps
Brandon Samudio
Senior Backend Software Engineer specializing in automation microservices
“Backend Python engineer who built core services for a telecom automation engine monitoring thousands of routers in real time and auto-generating support tickets. As the sole Intelygenz engineer on the project, they diagnosed a costly Terraform/GitLab CI/CD resource-leak issue in AWS and implemented a cleanup redesign that eliminated orphaned resources and reduced client cloud spend. Also shipped applied-AI ticket triage suggestions via API integration and built an end-to-end Gmail-to-ticket ingestion workflow.”