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Vetted GraphQL Professionals
Pre-screened and vetted.
Senior Backend Python Engineer specializing in cloud-native APIs and data platforms
Senior Full-Stack Software Engineer specializing in React and scalable web applications
Senior Full-Stack Engineer specializing in Python and AWS-native application development
Senior Full-Stack Software Developer specializing in enterprise web and mobile apps
Senior .NET Full-Stack Developer specializing in cloud-native microservices
Mid-Level Full-Stack Java Developer specializing in Spring Boot, React, and AWS
Executive Engineering Leader (CTO/SVP) specializing in high-load platforms and GenAI/LLM systems
Junior Software Engineer specializing in backend systems, QA automation, and AI/ML
Executive Engineering Leader specializing in Product, Mobile, and SaaS platforms
Senior Full-Stack Java Developer specializing in AWS cloud and microservices
Gowtham Kota
Mid-Level Full-Stack Software Engineer specializing in React, Java/Spring Boot, and AWS
“Full-stack product engineer who has shipped customer-facing features end-to-end, including a product detail page backed by Java/Spring Boot microservices and a React/TypeScript UI. Demonstrated measurable impact through performance and maintainability improvements (30% faster APIs, 25% less duplicated UI code, 40% reduced API complexity via GraphQL) and has operated/scaled apps on AWS with CI/CD, monitoring, and incident-driven scaling fixes.”
Sai Krishna mekala
Mid-level Full-Stack Software Engineer specializing in cloud microservices and AI search
“Robotics software engineer focused on backend/integration for indoor autonomous mobile robots, with hands-on ROS 2 experience integrating Nav2/AMCL/TF2 and LiDAR/camera pipelines. Emphasizes production readiness—robust failure recovery, QoS-tuned distributed communication, and strong observability (logging/health checks)—validated through Gazebo simulation, sensor-data replay debugging, and Docker-based CI/CD deployment.”
bharath burgoju
Mid-Level Data Engineer specializing in cloud data pipelines and big data platforms
“Data engineer with ~4 years of experience building Python-based data ingestion/processing services and real-time streaming pipelines (Kafka/PubSub + Spark Structured Streaming). Has deployed containerized data applications on Kubernetes with GitLab CI/Jenkins pipelines and applied GitOps to cut deployment time ~40% while reducing config drift. Also supported a legacy on-prem data warehouse/backend migration to GCP using phased migration and parallel validation to meet strict reliability/SLA needs.”
Mid-level Full-Stack Java Developer specializing in cloud-native microservices and React
Mid-level Software Engineer specializing in cloud, DevOps, and distributed systems
Mid-Level Software Development Engineer specializing in backend microservices and cloud-native IoT
Mid-level Backend Software Engineer specializing in Java microservices and cloud platforms