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Vetted GraphQL Professionals
Pre-screened and vetted.
Mid-Level Software Engineer specializing in full-stack, data engineering, and ML
Mid-level Full-Stack Developer specializing in cloud-native web applications
Mid-level Customer Success Engineer specializing in application security and FinTech integrations
Mid-Level Software Engineer specializing in Java/Spring microservices for FinTech
Mid-Level Full-Stack Software Engineer specializing in Java, Spring Boot, and React
Mid-level Full-Stack Developer specializing in cloud-native web apps
Junior Front-End/Full-Stack Software Engineer specializing in accessible web applications
Executive Full-Stack Engineer specializing in AEC tech and geospatial automation
Senior Java Full-Stack Developer specializing in enterprise web apps and microservices
Senior UI Developer specializing in Angular and React enterprise web applications
Senior Java Full-Stack Developer specializing in cloud-native microservices and FinTech
Mid-level Full-Stack Developer specializing in React and Python (Django/FastAPI)
Senior Full-Stack Engineer specializing in cloud-native Java microservices and GenAI
Mid-level Backend Software Engineer specializing in data platforms and reporting
Senior Full-Stack Developer specializing in cloud-native microservices (AWS)
Satya Kumar Itekela
Senior Frontend Engineer specializing in high-performance React/Next.js web apps
“Frontend engineer with experience at Autodesk and Quantify, leading and scaling Next.js/React + TypeScript products from architecture through QA. Strong focus on performance (Core Web Vitals, ISR, caching/CDN) and real-time interfaces (WebSockets, Chart.js/D3), with measurable wins like 30–40% bundle reduction and ~60% less data overfetching using GraphQL/Apollo.”
KrishnaVarshith Pabbisetty
Mid-level Backend Software Engineer specializing in Spring Boot, microservices, and cloud-native AI
“Backend engineer with experience modernizing a large-scale procurement platform at Jio Platforms by breaking a monolith serving 35 business units into Spring Boot microservices, improving uptime and cutting report latency ~30%. Also built high-concurrency FastAPI systems (200ms at ~500 concurrent users) with strong security (JWT/OAuth2/RBAC), event-driven Kafka integrations, and reliability patterns like exactly-once delivery for ~1M monthly triggers.”
Rafael Ortega
Senior Full-Stack & AI Engineer specializing in LLM integrations and cloud-native systems
“Backend/data engineer with hands-on production experience building FastAPI Python APIs and AWS-native platforms (Lambda/API Gateway, SQS, ECS Fargate) with Terraform + GitHub Actions CI/CD and strong reliability practices (JWT/RBAC, retries/timeouts, structured errors/logging). Also built AWS Glue ETL pipelines (S3/RDS to curated S3/Athena) with schema evolution and data quality controls, modernized legacy processing via parallel-run validation and phased cutovers, and has demonstrated SQL tuning impact (seconds to <200ms) plus incident ownership for batch pipeline SLAs.”
Sai Haritha Sardena
Mid-level Full-Stack Software Engineer specializing in web, cloud, and AI/ML
“Software engineer with experience at Wipro and Tylmen Tech owning customer-facing onboarding and real-time features end-to-end (React + Spring Boot) and building TypeScript/React apps backed by Node.js microservices (MongoDB, RabbitMQ). Strong in production reliability and fast iteration: feature-flagged rollouts, idempotent APIs/consumers, DLQs, and SLO-driven incident tooling, including an internal QA & release dashboard adopted by engineering and support teams.”
Senior Software Engineer specializing in backend microservices and data platforms