Pre-screened and vetted.
Mid-level Full-Stack Software Engineer specializing in enterprise platforms and AI
Senior Software Engineer specializing in React/Next.js enterprise web platforms
Mid-level Full-Stack Software Engineer specializing in cloud systems and real-time platforms
Mid-level Full-Stack Engineer specializing in Healthcare IT and FinTech
Senior Full-Stack Engineer specializing in web, mobile, and cloud applications
Senior .NET Developer specializing in cloud-native microservices and modern web apps
Senior Full-Stack Developer specializing in Python, Django, React, and cloud-native SaaS
Senior Full-Stack Python Engineer specializing in scalable web apps and APIs
Mid-level Frontend/MERN Stack Developer specializing in scalable web applications
Mid-Level MERN Stack Developer specializing in full-stack web applications
Entry-level Software Engineer specializing in backend and cloud systems
“Backend engineer who built and scaled a zero-to-one social product backend using Supabase (Postgres, Edge Functions, Auth, Realtime) plus Neo4j for graph-based friend recommendations. Demonstrates strong production rigor: staged rollouts with metrics, incident rollback/postmortems, and complex schema refactors using expand-contract/dual-write with reconciliation and feature flags. Notably proactive about edge cases like geo-boundary realtime delivery and idempotent retry safety.”
Senior Frontend Engineer specializing in platform architecture and real-time systems
“Frontend-leaning engineer at Exchange Lodge who recently took over an entire system end-to-end after team attrition, expanding into backend and platform ownership. They modernized a JSON-driven UI platform into a TypeScript/Angular microfrontend architecture, reporting an ~85% productivity gain, and also rebuilt documentation and developer workflows into a monorepo with AI-friendly Markdown and Mermaid diagrams.”
Senior Unity Developer specializing in AI/LLM systems and multiplayer VR
“Backend/data engineer focused on AWS-native Python systems: built a FastAPI microservice on ECS/Fargate serving real-time analytics at millions of daily requests with strong reliability (OAuth2/JWT, retries/timeouts, correlation IDs) and autoscaling. Also delivered Glue/PySpark ETL pipelines to curated S3 Parquet/Athena with schema evolution + data quality controls, owned Airflow pipeline incidents, and has a track record of measurable performance and cost optimizations (e.g., ~80%+ query latency reduction; reduced logging/NAT/Fargate spend).”
Mid-level AI/ML Engineer specializing in LLMs, RAG, and production GenAI systems
“Built and deployed a production LLM-powered RAG knowledge system to unify operational/policy information across PDFs, wikis, and databases, emphasizing auditability and low-latency/cost performance. Improved answer relevance at scale by moving from pure vector search to hybrid retrieval with metadata filtering and reranking, and partnered closely with healthcare operations/compliance to define acceptance criteria and human-in-the-loop guardrails.”
Mid-level Frontend Engineer specializing in Angular enterprise applications
“Front-end engineer focused on sophisticated enterprise analytics and monitoring platforms for operations and business users. Stands out for combining Angular/NgRx architecture with deep browser-level performance optimization and thoughtful UX improvements for real-time, data-heavy incident investigation workflows.”
Director-level FinTech and Product Leader specializing in AI recruiting and iOS voice apps
“Built a production voice-first fitness coaching/logging system ("Hey Coach") that routes headphone audio, transcribes speech, and uses LLMs to parse workouts into structured data with human-in-the-loop QA and A/B-tested improvements. Also brings a commercial background: led capital markets at a Series A fintech securing $250M+ in commitments and drove early GTM at WorkHQ.com, landing its first Fortune 500 customer.”
Mid-level Full-Stack Developer specializing in FinTech and Healthcare IT
“Candidate has hands-on experience at Cognizant building production-grade automation and integration solutions across Python ML services, Java microservices, Kafka, and Selenium-based UI testing. They stand out for a strong reliability mindset—covering failure modes, observability, flaky test hardening, and translating ambiguous payment-system business processes into resilient end-to-end automated workflows.”