.png){kind=logo}
Vetted Backend Engineers
Pre-screened and vetted.
Senior QA Engineer specializing in test automation for web and mobile applications
Senior Software Engineer specializing in backend systems, analytics, and LLM agent workflows
Junior Backend Software Developer specializing in Node.js APIs and cloud security
Senior Full-Stack Engineer specializing in cloud-native microservices and AI integrations
Senior Full-Stack Engineer specializing in cloud-native microservices and FinTech systems
Senior Full-Stack Engineer specializing in consumer web and mobile products
Mid-level Backend Python Engineer specializing in scalable APIs and distributed systems
Senior Data Scientist specializing in ML pipelines and LLM applications
Mid-level Backend & Blockchain Developer specializing in Web3 and cloud-native systems
Senior Generative AI Engineer & Full-Stack Developer specializing in LLMs and microservices
Mid-level Software Engineer specializing in distributed systems and high-performance networking
Senior Full-Stack Software Engineer specializing in Python/Django, React, and AWS
Senior Backend/Full-Stack Engineer specializing in cloud-native APIs and data platforms
Senior Full-Stack Developer specializing in Python/Django and cloud-native web apps
Senior Unity Developer specializing in mobile, VR, and AR game development
Lokeshwar Reddy Gummireddy
Mid-level Backend Engineer specializing in Python APIs, event-driven systems, and Kubernetes
“Backend Python engineer who owned a real-time manufacturing insights streaming service, building FastAPI async microservices with Kafka-style queue buffering, batching/backpressure, and a low-latency snapshot store. Led a serverless-to-Kubernetes (EKS) migration at UGenomeAi using GitOps-style GitHub Actions pipelines, standardized config/secrets, and improved deployment consistency with pinned dependencies and multi-stage Docker builds.”
Dhairya Gajjar
Mid-Level Software Engineer specializing in Healthcare Data Platforms
“Backend/ML engineer with healthcare domain experience building secure Medicare/Medicaid data APIs and real-time patient risk scoring. Shipped an end-to-end ML pipeline (scikit-learn/XGBoost) served via SageMaker and integrated into Flask APIs, with strong production reliability practices (Kafka schema validation, regression replay, observability, drift monitoring, and human-in-the-loop guardrails).”
Intern-level Full-Stack Software Engineer specializing in AI and web applications