Pre-screened and vetted.
Mid-level Data Analyst & ML Engineer specializing in GenAI, NLP, and cloud data pipelines
Mid-level DevOps Engineer specializing in multi-cloud Kubernetes and CI/CD automation
Mid-level Data Scientist specializing in customer analytics, ML pipelines, and churn forecasting
Intern Software Engineer specializing in cloud-native distributed backend systems
Director-level Product Data Science leader specializing in experimentation and causal inference
Mid-Level Software Developer specializing in FinTech and AI-enabled systems
Mid-level Software Engineer specializing in backend systems, cloud microservices, and AI-driven automation
Mid-Level Full-Stack Software Engineer specializing in cloud microservices and LLM/RAG systems
Mid-Level Software Engineer specializing in full-stack systems and cloud platforms
Mid-level Full-Stack Engineer specializing in cloud-native microservices and data integrations
Mid-Level Backend Software Engineer specializing in Java/Spring Boot microservices on AWS
Senior Data Engineer specializing in cloud data platforms and real-time pipelines
Mid-level Data Engineer specializing in AI/ML data platforms and real-time streaming
Mid-level Data Engineer specializing in cloud lakehouse and streaming pipelines
Senior Full-Stack Engineer specializing in cloud, web, and mobile platforms
“Full-stack product engineer who has owned end-to-end delivery of multi-client platforms: Finy (agriculture platform with 3 role-based web dashboards plus 2 field mobile apps) and Ugoku (Japanese studio platform with React/TypeScript dashboards, Node/Mongo backend, and mobile AR video playback). Strong in scalable architecture and performance—offline-first mobile for low connectivity, and AWS-based asynchronous video/AR processing with S3/CloudFront—plus building internal ops tools adopted quickly due to measurable workflow improvements.”
Mid-level Backend Software Engineer specializing in AI workflow automation for finance and healthcare
“Backend/AI engineer with healthcare domain experience who built a patient journey analytics API (FastAPI/PostgreSQL/Snowflake/Redis) and debugged peak-hour latency down from ~900ms to ~50ms via indexing and query optimization. Shipped an LLM-powered clinical summary/recommendation assistant end-to-end and designed a multi-step risk evaluation agent workflow with safety guardrails against hallucinations and unsafe outputs.”