Vetted Engineering Professionals in Remote

“Backend engineer (Marsh McLennan) who evolved a high-volume claims automation pipeline in Python, emphasizing thin APIs with background job processing, strong validation/retries, and production-grade observability. Experienced in secure FastAPI API design (centralized JWT/RBAC), multi-tenant Postgres/Supabase-style row-level security, and low-risk refactors using parallel runs and feature flags; targeting founding-engineer scope roles.”

“Frontend engineer who built uichallenges.design end-to-end in Next.js, delivering hourly AI-generated challenges across timezones and a CDN-backed gallery of 1k+ items while staying fast for 100s of weekly active users. Also led a full replacement of Zenhub’s kanban board, forking DnD tooling and adding custom virtualization + Redux to support thousands of items with real-time socket updates, shipped safely via gradual rollout with Sentry/Mixpanel and A/B testing.”

“Full-stack engineer who built a cloud storage app feature (file upload/management) with Next.js App Router + TypeScript and owned post-launch improvements. Also has internship experience building a geospatial AI chatbot: designed Postgres/PostGIS data models and optimized spatial queries, and implemented an LLM workflow orchestrated with LangChain/LangGraph plus a RAG pipeline grounded in OpenStreetMap data to reduce hallucinations.”

“Software engineer experienced owning internal, customer-facing dashboards and internal ops tools end-to-end, emphasizing fast iteration without sacrificing stability (CI/CD, automated tests, feature flags, monitoring). Built a TypeScript/React role-based dashboard backed by Java Spring Boot and has hands-on microservices experience with RabbitMQ, including production hardening with retries, dead-letter queues, logging, and health checks.”

“Backend engineer who built and optimized a high-traffic e-commerce platform in Python/Flask, focusing on scalability and reliability through service decomposition, Redis caching, and Celery-based background processing. Also integrated an AI intent-classification chatbot as a separately deployable inference service on AWS and has hands-on experience designing multi-tenant data isolation strategies in PostgreSQL.”

“Backend-leaning full-stack engineer who ships AI-enabled products end-to-end: built CodeChat, a production internal codebase Q&A tool using RAG with Pinecone and a model-agnostic wrapper across OpenAI/Anthropic/AWS Bedrock, cutting AWS costs ~50% and latency ~45%. Also built and operated RealityStream, a Flask-based real-time forecasting API with JWT/RBAC, MLflow model versioning, and Prometheus/Grafana observability, including handling a real production latency incident via rollback, preloading, and caching.”

“QA engineer with Citibank experience owning mobile automation and cross-platform validation (Android/iOS), including push notifications, RBAC, and backend API/data sync checks. Demonstrates strong Cypress/JavaScript E2E expertise—stabilizing CI-flaky React tests via cy.intercept—and builds pragmatic GitLab CI pipelines with smoke/regression gating plus rich reporting (Cypress Dashboard, Slack).”

“Unity XR engineer from FitXR who architected a session-based gameplay framework powering workouts across single-player and synchronous multiplayer on multiple headsets (Meta/Pico/OpenXR/Android XR). Deep focus on deterministic authoritative state, bandwidth-aware networking, and VR performance optimization (Quest 1+) with live content delivery via Addressables and production hotfixes.”

“Full-stack engineer with strong data/regulatory reporting background (BNY) who owns customer-facing and internal reporting products end-to-end—from ETL/SQL transformations through React/TypeScript UIs and Spring Boot APIs. Built role-based, audit-friendly dashboards and designed RabbitMQ-based event-driven microservices with reliability patterns (idempotent consumers, publisher confirms, Saga) to scale workflows across teams.”

“Open-source React dashboard/visualization library maintainer focused on runtime performance and API clarity. Led a significant effort to eliminate severe render lag on large live-updating datasets through profiling-driven refactors (normalized state, memoized selectors) and locked improvements in with CI, linting, and documentation that reduced regressions and improved external contributor onboarding.”

“JavaScript engineer with a track record of diagnosing and fixing real performance issues end-to-end—profiled a charting library freeze on large datasets, rewrote layout logic to batch updates, added tests, and got the PR merged upstream. Also has experience stabilizing backend services in ambiguous, fast-moving projects by defining priorities, tightening API contracts, and owning delivery through deployment.”