Vetted React Professionals

“Backend-leaning full-stack engineer from ADP’s Global View team who owned major backend components of an enterprise payroll dashboard, including a fault-tolerant multi-step payroll processing workflow and error visibility features. Strong in Java/Spring Boot + PostgreSQL schema design and Redis caching, with additional production experience in Python services (JWT, testing, SonarQube) and AWS deployments via Terraform/Jenkins with autoscaling.”

“Backend/full-stack engineer with finance domain experience (State Street) who built and shipped a Kafka-based real-time trade validation system handling 50k+ trades/sec and cut latency by 42%. Also delivered real-time React dashboards (Redux Toolkit/React Query/WebSockets) and operates AWS EKS microservices with GitOps/ArgoCD; has built a FastAPI + LangChain/GPT-4 intelligent document processing service with JWT/RBAC.”

“Engineering leader/player-coach who has led 40+ developers across multiple teams on large financial services web applications (Wells Fargo) and previously delivered a banking mobile app MVP in 6 months with a junior team by setting patterns and CI/CD foundations. Strong in production reliability practices (Splunk monitoring, feature flags, throttled rollouts) and has driven measurable quality/velocity wins, including a 60% faster E2E test framework and a rapid 2-day hotfix during a React 16→18 migration.”

“Full-stack engineer at an early-stage startup with hands-on production experience spanning Angular frontend features, backend safety checks for an image-generation workflow (OpenAI Safety), and AWS operations. Built CI/CD to ECS with GitHub Actions, implemented CloudWatch observability, and improved release reliability via Blue/Green deployments with automatic rollback.”

“QA/automation engineer with hands-on experience spanning web UI automation (Cypress/JavaScript) and hardware/firmware validation (BIOS/BMC, FPGA). Has delivered high-impact reliability and throughput improvements in server/HPC environments, including automation that enabled booting across ~250 servers and requirement clarification that unblocked firmware work for ~550 servers.”

“Software engineer with experience at Freddie Mac shipping a production workflow tracking and daily summary dashboard that replaced spreadsheet/email-based operational processes. Worked across frontend (React/JavaScript), backend (Java), Oracle relational data, and CI/CD, with emphasis on stakeholder collaboration and post-deploy testing/monitoring/performance tuning.”

“Backend/AI engineer who has built production Spring Boot APIs on AWS (JWT auth, Redis/MySQL) and solved a real-world silent data integrity issue by implementing idempotency keys plus DB constraints/transactions. Also shipped an LLM-based document Q&A feature using a RAG pipeline with evaluation + human review, and designed multi-step agent workflows with verification, retries, and escalation guardrails.”

“Infrastructure/operations engineer with hands-on production IBM Power/AIX (AIX 7.x, VIOS, HMC) and PowerHA/HACMP clustering experience, including DLPAR changes, failover testing, and incident recovery. Also delivers modern cloud DevOps work—GitHub Actions CI/CD for Docker-to-Kubernetes on AWS and Terraform-based provisioning of core AWS infrastructure (VPC/EKS/RDS/IAM) with controlled rollouts and drift checks.”

“Led the creation of a software department at a hardware startup and designed/built a platform to manage fleets of hexacopter drones, including tackling the challenge of streaming high volumes of data from many IoT edge devices. Prefers greenfield work with high autonomy, combining hands-on architecture with structured planning, cost estimation, and risk-driven execution.”

“Full-stack product engineer who has shipped polished customer-facing experiences across iOS (SwiftUI), web (Next.js/React/TypeScript), and Python backends. Built systems ranging from an escalating smart-reminder engine to a sub-200ms search UI over 6M+ court records, and owned AWS production operations including resolving a real DB-connection-exhaustion incident with scaling and architectural hardening.”

“QA automation engineer who owned an end-to-end test suite for a financial payments application, building cross-layer E2E coverage (UI/API/DB) and integrating it into CI with smoke-on-commit and nightly regression. Caught high-impact issues including duplicate payments caused by missing idempotency in backend retry logic and an RBAC authorization gap, and has hands-on experience stabilizing flaky Cypress tests via network-call synchronization.”

“Built and productionized an LLM-powered support/knowledge pipeline using embeddings and retrieval (RAG) to deliver more grounded, higher-quality responses while reducing manual effort. Focused on real-world reliability and performance—adding structured validation/guardrails, optimizing vector search and context size for latency/scale, and monitoring failure patterns in production. Experienced with orchestration via LangChain for LLM workflows and Airflow for production data/ML pipelines, and iterates closely with operations stakeholders through demos and feedback.”

“Full-stack engineer with healthcare and finance experience who has owned end-to-end production systems across Azure and AWS. Built a real-time clinical dashboard at Centene (React + FastAPI + Azure Event Hubs) that cut data latency from ~12 minutes to under 1 minute and was associated with a 30% reduction in intervention delays. Also delivered MVPs in high-ambiguity environments at Accenture during monolith-to-microservices migration, improving uptime and maintainability with measurable results.”

“Backend engineer with production experience building and scaling a Java/Spring Boot payment processing API on AWS (PostgreSQL/Redis) handling a few thousand RPS, including deep performance debugging (connection exhaustion) and observability (CloudWatch, Actuator, Zipkin). Also shipped application-layer AI features (OpenAI email summarizer with feedback loop, ~40% faster agent response times) and designed reliable multi-step workflow orchestration with retries and manual escalation, plus strong SQL tuning and Python engineering practices.”

“Backend-leaning full-stack engineer with experience at Walmart, Qualtrics, and American Express, shipping secure partner-facing API platforms and internal monitoring dashboards. Strong in AWS production operations (ECS/Fargate, RDS/Postgres, CloudWatch) plus rigorous testing/security practices, with measurable delivery and performance improvements (35% faster releases; ~30–40% latency reductions).”

“TypeScript backend/full-stack engineer who owned an internal business workflow platform end-to-end in production, including API/data design, relational DB integration, and enterprise integrations. Has hands-on experience operating workflow processing services with Kafka-style event-driven patterns, idempotency, exponential backoff retries, dead-letter queues, and strong observability, plus API design with OpenAPI/Swagger and token-based auth.”

“Founding/solo engineer who rebuilt an early-stage product from the ground up: Ask NETA, an AI assistant for electricians to answer complex electrical code questions. Delivered a full-stack TypeScript system (React web + React Native iOS/Android, Express API, Postgres on AWS) with CI/CD, observability, and a Vertex AI RAG pipeline, reaching 3,000 MAUs in the first month; also built a real-time distributed scoring system handling unreliable hardware data with sequencing and retries.”

“End-to-end engineer who has productionized AI automation and RAG capabilities, building full-stack systems (React/Node/Redis/Postgres + vector DB) with evaluation-driven quality gates and monitoring. Reported ~60% reduction in manual ops time and major turnaround improvements, and has experience modernizing legacy systems safely via feature flags and parallel runs while working across product, data, and ops teams (System1).”

“Full-stack engineer with ~3.5 years of Java Spring Boot and React experience who built an end-to-end banking transaction platform using microservices, Kafka streaming, AWS RDS, and Dockerized CI/CD. Demonstrates strong performance and reliability engineering (async processing, DLQ/retries, idempotency, caching) plus secure cloud deployment practices; has also worked across banking, healthcare, and insurance domains.”

“Backend engineer who built an AI-driven "Smart Feedback Analyzer" API (Flask → FastAPI) that processes user feedback with NLP (Hugging Face + OpenAI) and returns structured insights. Demonstrates strong production-minded architecture: stateless services, Cloud Run + Docker deployment, Redis/Celery background processing, and Postgres/SQLAlchemy performance tuning (EXPLAIN ANALYZE, indexing, N+1 fixes), plus multi-tenant data isolation via JWT/API-key derived tenant IDs.”

“Full-stack engineer with hands-on production experience building real-time customer-facing features (order tracking + push notifications) across React/React Native and Node/Spring Boot with Postgres/MySQL. Demonstrates strong reliability patterns (transactional outbox, background workers, idempotent webhook ingestion) and has deployed/operated systems on AWS (ECS/Fargate/ALB, CloudWatch, CodePipeline) with structured observability and environment separation.”

“Founding engineer at Novum AI building a real-time call analytics/suggestion backend (transcription + sentiment/tone + context retrieval) using a serverless architecture. Drove major latency improvements (about 4s down to sub-1.5s) and has practical experience hardening production APIs (FastAPI/Pydantic, auth with Cognito/Redis) and payment systems (Stripe) by surfacing overlooked subscription and multi-tenant billing edge cases.”

“Recruiting operations lead with 6 years supporting Capgemini/Capco-style client hiring, owning end-to-end workflows in Greenhouse. Implemented a technical pre-screen coding round and integrated HackerRank with the ATS to dramatically increase interview throughput and improve candidate quality, contributing to high-volume placements for Freddie Mac and closing a 20-role surge across BA/PM and engineering roles.”