Pre-screened and vetted.
Executive Technology Leader specializing in HPC/AI, distributed systems, and trusted computing
Mid-level Full-Stack Software Engineer specializing in React/Node and cloud-native web apps
“Full-stack engineer who built and iterated a CRM dashboard at ReplyQuick by sitting with end users, prioritizing blockers, and shipping frequent updates—improving usability and performance enough to replace a spreadsheet workflow within ~2 months. Demonstrates strong security fundamentals (OAuth2/JWT + RBAC) and practical microservices experience (decoupling a CRM API from a PDF-processing service via async processing and status tracking).”
Mid-Level Software Engineer specializing in backend microservices and cloud-native systems
“Full-stack TypeScript engineer who has owned a real-time workflow/communication platform end-to-end in production (Node/TS + React, Postgres/Redis, Kafka, Docker/CI/CD). Demonstrates strong distributed-systems pragmatism—designing for failure with retries, DLQs, idempotency keys, and atomic writes—plus operational practices like structured logging, monitoring, and zero-downtime deployments.”
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and FinTech
“Software engineer/product-minded builder who owns customer-facing products end-to-end and ships in 1–2 week increments using CI/CD, automated testing, and feature flags. Built a TypeScript/React/Node platform that cut page load times by 40% and scaled to 3x concurrent users, and designed RabbitMQ-based microservices with Prometheus/Grafana monitoring. Also delivered an internal real-time support analytics dashboard that reduced response times by 30%.”
Mid-level Software Engineer specializing in full-stack web, Go microservices, and AI integrations
“Backend/LLM engineer who ships production internal tooling end-to-end: automated data-request processing with monitoring-driven improvements (better error diagnostics and lower latency via query/index tuning). Also built a RAG-based internal Q&A system over company docs and operational logs with guardrails (similarity thresholds, fallbacks, response limits) and an eval loop using real user queries and human review to drive prompt/retrieval changes.”
Senior Software Engineer specializing in distributed systems and AI platforms
“Senior engineer transitioning into a lead engineer role who is actively overseeing 5 developers and championing an AI-first development culture. Stands out for a highly structured approach to AI-assisted software delivery, including context engineering, phased planning, multi-agent orchestration, and deliberate hallucination mitigation rather than 'vibe coding.'”
Senior Software Engineer specializing in enterprise platforms and data engineering
“Backend/data platform engineer who owned an enterprise Django REST + PostgreSQL reporting backend and built Python ETL pipelines to normalize 3M+ legacy customer records, improving data reliability by 85%. Strong Kubernetes/GitOps practitioner (Helm, ArgoCD, Jenkins/GitHub Actions) with real-world production debugging experience, plus Kafka streaming at 5M events/day and a zero-downtime monolith-to-event-driven microservices migration on AWS that cut infra costs by 42%.”
Mid-Level Full-Stack Software Engineer specializing in React, Java/Spring Boot, and AWS
“Full-stack product engineer who has shipped customer-facing features end-to-end, including a product detail page backed by Java/Spring Boot microservices and a React/TypeScript UI. Demonstrated measurable impact through performance and maintainability improvements (30% faster APIs, 25% less duplicated UI code, 40% reduced API complexity via GraphQL) and has operated/scaled apps on AWS with CI/CD, monitoring, and incident-driven scaling fixes.”
Junior Full-Stack Software Engineer specializing in React/Next.js and AWS
“Backend engineer with Paycom experience who deployed a TypeScript web app on AWS and is re-architecting Stripe webhook handling using Kafka for durable, high-throughput asynchronous processing. Also delivered a freelance Python solution for a hospital that ingested sensor API data, normalized inconsistent readings, generated reports, and sent threshold-based email alerts while collaborating directly with hospital staff.”
Executive CTO specializing in cloud-native SaaS, multi-cloud infrastructure, and AI/ML
“Hands-on infrastructure and engineering leader (Director of Global Infrastructure / CTO) who has run double-digit multi-million dollar data center expansion and cloud migration programs and scaled teams rapidly (including offshore/nearshore). Strong AWS and microservices background (Lambda/SQS/SES), with experience balancing deep technical architecture work alongside investor/VC communications and fundraising-related responsibilities.”
Senior Engineering Manager specializing in AI platforms and cloud-native backend systems
“Player-coach engineering leader who stayed hands-on (coding/reviews) while leading delivery, including designing an event-driven AI workflow engine with explicit state modeling and robust retries. Built near real-time enterprise analytics for campaign measurement and drove reliability/process improvements (observability, incident runbooks, release management). Introduced lightweight CI/CD and automated testing to cut release time by ~40% while maintaining quality.”
Mid-level Cloud DevOps Engineer specializing in Kubernetes, CI/CD, and IaC
Mid-Level Full-Stack Product Engineer specializing in Next.js, React, and Postgres
Director-level Software Engineering leader specializing in Microsoft cloud and SaaS platforms
Mid-level Full-Stack Developer specializing in Java/Spring Boot, React/Angular, and cloud microservices
Senior Software Engineer specializing in AWS serverless, APIs, and data/ETL platforms
Mid-level Software Engineer specializing in distributed systems and cloud-native microservices
Senior .NET Full-Stack Engineer specializing in enterprise web apps and cloud platforms
Mid-Level Software Developer specializing in cloud-native microservices and FinTech
Mid-level Full Stack .NET Developer specializing in cloud-native enterprise applications
Mid-Level Full-Stack Developer specializing in Java/Spring and React for enterprise SaaS
Mid-level Software Engineer specializing in AI and cloud-native data platforms