Pre-screened and vetted.
Senior Back-End PHP Developer specializing in scalable web APIs
“Full-stack PHP/Laravel and Vue.js developer with experience spanning startup e-learning, e-commerce, and a B2B SaaS logistics platform. Particularly notable for integrating Stripe early in their career, improving MySQL performance with indexing, and handling client-specific GPS integrations for enterprise transportation customers such as Coca-Cola, Pepsi, and Emirates Logistics.”
Junior Business & Data Analyst specializing in automation, BI, and implementation
“Operations- and growth-oriented candidate who improves external partner workflows through standardization and measurement (cut turnaround time ~40% while maintaining 99% accuracy). Also launched and scaled a university Excel/data analysis workshop using ICP-driven GTM and a tracked acquisition loop, increasing attendance 15% and generating 95% repeat-demand intent.”
Senior QA Automation Engineer specializing in web, API, mobile, and cloud test automation
“Game QA professional with AAA open-world shipping experience, owning high-impact quality risks like save-data corruption, progression blockers, performance drops, and multiplayer desync. Demonstrates strong systems thinking and exploit prevention (e.g., reproduced and helped fix a reward-duplication race condition using network interruption + rapid input), with disciplined JIRA/TestRail workflows and evidence-driven bug reporting.”
Director-level Program Delivery & Client Success leader specializing in SaaS and SLED partnerships
“Business/partnerships-focused project/program leader with government contracting (SLED) experience who supported a cybersecurity solicitation response for Amtrak after a breach, using NIST-aligned posture assessment and recommending MFA, Zero Trust, and incident/vulnerability registers. Also led an urgent COVID-era recovery from a server crash by coordinating a move to AWS EC2 and managing vendor negotiation and project timelines for a CRM platform serving the winery/beverage industry.”
Junior AI Engineer specializing in LLM evaluation, prompt engineering, and AI orchestration
“LLM workflow builder who has deployed a personalized GPT experience (including Delphi AI-based knowledge ingestion) and built a LangChain/LangGraph job-aggregation pipeline that ingests, normalizes/dedupes, filters, then uses an LLM to rank and summarize matches. Emphasizes production reliability with structured outputs, retries/fallbacks, metric-driven evaluation, logging/prompt versioning, and A/B testing, and collaborates with non-technical stakeholders through demo-driven iteration.”
Junior Full-Stack Software Engineer specializing in mobile, cloud, and GenAI integration
“Software engineering intern with hands-on ownership of a Java/Spring Boot order management microservice, including production performance tuning via Redis caching and database indexing driven by API logs/metrics. Also contributed to a production mobile-backend LLM feature using RAG with embeddings over structured data and documents (DB + object storage), with guardrails to keep responses grounded.”
Senior Product Manager specializing in AI-driven SaaS, FinTech, and E-commerce
“Product leader who built Dhurba, a SaaS commerce and business management platform for small and medium retailers, owning the lifecycle from strategy and discovery through launch and scale. Particularly strong in simplifying complex products for non-technical users, aligning cross-functional teams, and introducing explainable AI features that improve merchant outcomes without removing human control.”
Senior Full-Stack Engineer specializing in Python, Go, and cloud-native systems
“Full-stack/backend-leaning engineer with hands-on experience spanning Python, Go, React, Kafka, PostgreSQL, Redis, Docker, and Kubernetes. They stand out for building real-time analytics and decisioning systems, plus a healthcare-focused B2B SaaS compliance/data integration platform that combined high-throughput event processing, dashboarding, and third-party integrations in a startup-style, high-ambiguity environment.”
Senior Software Engineer specializing in full-stack platforms and distributed systems
“Engineer with boutique startup-style experience on small teams, owning full vertical slices in ambiguous client environments. Particularly strong in NetSuite-based B2B SaaS-style automation for finance and operations, where they reverse-engineered undocumented workflows and rebuilt them into modular, audit-ready systems. Also actively coding across Go, Python, and React/TypeScript, making them a rare blend of integration architect and hands-on full-stack builder.”
Mid-level Full-Stack Engineer specializing in Golang and cloud-native FinTech systems
“Backend-leaning full-stack engineer in fintech/payments who shipped an end-to-end Stripe payments + webhook system for a financial microservices platform, emphasizing ledger accuracy via idempotency, transactional writes, retries, and DLQs. Also delivered a real-time React/TypeScript payment status dashboard informed by user interviews, and improved production performance by 35% p95 latency through PostgreSQL tuning and Redis caching on AWS.”
Senior Game Engineer specializing in Unity, Unreal, and multiplayer systems
“Unity/C# gameplay engineer with strong systems and optimization focus, including architecting a networked ability system that reduced networking load via lightweight ID-based replication. Also brings experience with AI-driven game tooling for Meta, custom internal tools, and mobile multiplayer performance tuning across graphics, networking, and input architecture.”
Mid-Level Software Engineer specializing in cloud-native microservices and full-stack development
“Full-stack engineer with deep startup experience building products from scratch under ambiguous requirements. Delivered a scalable, admin-configurable notification platform (Spring Boot/Java/Kafka) supporting 50+ notification types across 3 channels for 10k+ users, cutting new notification setup to ~5 minutes. Also built a Tinder-meets-LinkedIn job-swiping app (React/TS + Node/Prisma) and has hands-on AWS production ops (ECS/EKS, RDS, CloudWatch) plus multiple third-party integrations (Stripe, QuickBooks, Twilio).”
Mid-level Frontend-Focused Full-Stack Developer specializing in React and TypeScript
“Frontend engineer at LodestonePM who led end-to-end delivery of an AI release-notes generator (OpenAI API) and a Kanban-style release board in Remix/React/TypeScript. Demonstrated scalable architecture (bridging tables, upserts), strong QA practices, and measurable performance wins (200+ item loads reduced from 10–20s to a few seconds via caching/pagination), plus UX improvements like simplifying a Jira integration flow.”
Mid-level Full-Stack Engineer specializing in cloud-native DevOps and Kubernetes
“Full-stack engineer with strong production experience improving performance and reliability of data-heavy analytics products. Has shipped end-to-end features spanning Node/Express + PostgreSQL + Redis and React/TypeScript, deployed via Docker/GitHub Actions to AWS EKS with Helm, and monitored with Datadog/CloudWatch; also built a Python compliance automation backend for AWS security monitoring with RBAC, versioned REST APIs, and resilient throttling-aware processing.”
Senior Game & XR Developer specializing in Unity and immersive AR/VR platforms
“Unity/C# gameplay engineer who shipped a live-service mobile RPG and a Quest 2 + mobile social fitness game, with deep experience in performance optimization and multiplayer netcode. Built client-prediction/server-authoritative combat and consolidated AI updates to hit 60 FPS (P50 frame time improved 22ms→14ms), and implemented strong live-ops tooling (replays in S3, alerts, desync checksums). Also integrated an LLM-driven NPC dialogue system via a Go middleware layer with validation/caching and evaluated it through a 4-week A/B test.”
Senior Full-Stack Engineer specializing in modern web applications
“Full-stack developer with seven years of experience who has built production systems across AWS serverless infrastructure, Django applications, and user-facing web products in domains like emergency response, fintech/investing, recruiting, and conference management. Particularly notable for combining technical architecture with product thinking—e.g., modernizing a crash-tracking platform for emergency responders and materially improving trust-driven conversion in a trading-card fractionalization product.”
Senior Technical Lead and Full-Stack Engineer specializing in cloud, AI, and enterprise platforms
“Engineering leader and player-coach who says he joined Freeing Returns during a transition from sales-led services to SaaS, architected the platform from the ground up, and helped hire a 10+ person team across engineering, product, and delivery. He also describes leading an AI-based fraud detection system on Salesforce with data lake and pipeline architecture, combining startup build-from-scratch execution with hands-on technical leadership.”
Senior Go Engineer specializing in low-latency FinTech platforms
“Backend/distributed-systems engineer with 9 years of Go experience, focused on financial-services platforms where performance, reliability, and regulatory auditability are critical. He has built low-latency market data infrastructure (p99 under 8ms) and optimized compliance/reporting systems used by finance and audit teams, combining strong systems design with practical production operations.”
Senior Product Manager specializing in AI, SaaS, and e-commerce products
“Product leader with experience spanning AI workflow automation, e-commerce UX, and educational products. Led Reply Neurons AI at Valorem Reply, where human-in-the-loop AI agents reduced backlog and requirements effort by about 40%, and previously helped shape product discovery improvements at GCC toy retailer Dabdoob while also building out the product function at Nizek as its first product manager.”
Senior Full-Stack & Mobile Engineer specializing in React and React Native
“Frontend engineer/team lead currently overseeing a 5-person team building an AI trading mobile application, using modular architecture and Jest-based testing to maintain quality as features scale. Also develops a trading/research platform in Next.js/React/TypeScript with Tailwind and Redux, including complex broker registration workflows and experience separating on-device AI components from core business logic.”
Senior Game Developer specializing in multiplayer, XR/VR, and real-time networking
“Unity/C# gameplay engineer who has owned end-to-end systems for live-service AR and shipped VR (Meta Quest) and mobile titles. Built a hybrid LLM-driven real-time NPC interaction pipeline (STT/LLM/TTS) with streaming SSE, strict JSON contracts, and state-machine execution for stability, plus a custom UDP/TCP authoritative multiplayer stack deployed on AWS EC2 with live monitoring and rapid hotfix capability.”
Mid-level Salesforce Engineer specializing in CRM automation and integrations
“Salesforce-focused engineer with hands-on ownership of complex Sales Cloud and Service Cloud solutions, including automated lead-to-opportunity lifecycle workflows, LWC-based lead management UIs, and Aura case management consoles. Stands out for making thoughtful architecture tradeoffs between Flow and Apex, with strong attention to scalability, governor limits, UX performance, and post-release monitoring.”
Junior Front-End Engineer specializing in React web applications
“Master's student who built and owned a recruiter-focused full-stack dashboard with real-time updates, large candidate datasets, and performance-sensitive React UI workflows. Stands out for practical front-end optimization work using Chrome DevTools, CSS/rendering fixes, and TypeScript to improve speed, usability, and maintainability.”
Junior Full-Stack Developer specializing in Vue/React and Node.js APIs
“Full-stack engineer with strong AWS operations experience who helped replace a long-standing manual logistics reporting process by building a production-grade, event-driven On-Time-Performance rules system. Personally owned the Vue-based rule configuration frontend end-to-end (design collaboration through QA/UAT and post-release support) and measures success via accuracy validation against historical data, reduced manual adjustments/tickets, and system latency/error metrics.”