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Vetted Amazon EKS Professionals
Pre-screened and vetted.
Staff Full-Stack Engineer specializing in AI agents and cloud platforms
Mid-level Software Engineer specializing in cloud-native microservices and Healthcare IT
Mid-level Software Engineer specializing in backend, DevOps, and cloud infrastructure
Mid-level Software Engineer specializing in frontend and AI-native web applications
Junior Software Engineer specializing in AI-powered backend and distributed systems
Mid-level Full-Stack Engineer specializing in e-commerce platforms
Senior Full-Stack Engineer specializing in FinTech and scalable web platforms
Mid-level Full-Stack .NET Developer specializing in Angular, Azure, and AI integrations
Senior Full-Stack Software Engineer specializing in cloud-native FinTech and data pipelines
Staff Infrastructure Engineer specializing in security, compliance, and distributed AI systems
Mid-level Full-Stack Engineer specializing in cloud-native Java microservices
“Software engineer using AI pragmatically to accelerate development while keeping human review central to quality. Has hands-on experience applying AI and lightweight multi-agent workflows in a microservices environment spanning Java Spring Boot APIs, React modules, and Kafka event flows, with strong emphasis on architecture validation and production safeguards.”
revanth polthi
Mid-level Data Scientist specializing in Generative AI and MLOps
“GenAI/LLM engineer with production experience at Allstate building an end-to-end document intelligence workflow for insurance operations—automating document intake, classification, and risk signal extraction. Emphasizes high-reliability design for regulated/high-stakes outputs using schema enforcement, confidence thresholds, validation rules, and human-in-the-loop routing, with metric-driven offline evaluation and production monitoring.”
John McAuliffe
Mid-level Full-Stack Engineer specializing in biomedical data platforms
“Backend engineer who has both shipped production systems at work and independently launched tab-review.com, a BI dashboard quality/linting platform. They combine pragmatic early-stage execution with strong instincts around scaling, observability, RBAC, and production reliability, and have also built internal AI-assisted reporting workflows using LangChain and human-in-the-loop review.”
jack green
Executive CTO specializing in SaaS product and engineering leadership
“Engineering/product leader in early-stage environments who has repeatedly driven major pivots and scaling efforts: pandemic-era refactor at NameCoach and multi-community expansion at Nolodex (now ~20 communities). Comfortable going from executive roadmap/stakeholder alignment to hands-on implementation (e.g., webhooks), and has led architecture shifts (monolith-to-distributed, Heroku-to-AWS) while managing outsourced/offshore teams through organizational friction.”
Director-level Engineering Manager / Java Architect specializing in cloud-native payments microservices
Mid-level Backend Engineer specializing in cloud-native microservices and FinTech systems
Staff AI/ML Engineer specializing in backend platforms and LLM systems
Director-level Engineering Leader specializing in AI transformation and platform modernization
Senior Full-Stack Engineer specializing in backend systems and cloud-native platforms
Mid-Level Full-Stack Java Developer specializing in Spring Boot, React, and AWS