Pre-screened and vetted.
Senior AI Software Engineer specializing in full-stack AI platforms
Senior Full-Stack Software Engineer specializing in cloud-native backend systems
Senior Backend Engineer specializing in scalable APIs and cloud services
Senior Full-Stack AI Engineer specializing in LLM and speech-to-text products
Senior Software Engineer specializing in distributed systems and cloud infrastructure
Senior Software Engineer specializing in scalable web apps, real-time systems, and AI integration
Staff Software Engineer specializing in cloud-native healthcare and payments platforms
Senior Full-Stack Software Engineer specializing in AI/ML for FinTech & E-commerce
Senior AI/ML Engineer specializing in generative AI and recommendation systems
Senior Software Engineer specializing in backend systems and data platforms
Mid-level AI/ML Engineer specializing in Generative AI and multilingual NLP
Principal Software Engineer specializing in cloud security and distributed systems
Senior Software Engineer specializing in FinTech and Healthcare platforms
Junior Software Engineer specializing in full-stack and cloud systems
“Worked on an AWS DynamoDB Journal team project building internal operator dashboards end-to-end, creating Java/Spring Boot APIs and integrating them into a Spring Boot/Thymeleaf/JavaScript UI to speed up debugging workflows. Has experience with data-heavy web apps and performance techniques (load balancing, caching, pagination, compression) plus hands-on debugging across unit/integration/E2E tests; also maintained and enhanced a React website at Global Spark.”
Senior Backend Developer specializing in cloud APIs and microservices
Staff Software Engineer specializing in frontend architecture for streaming platforms
Senior Full-Stack Software Engineer specializing in scalable web platforms
Senior Full-Stack Engineer specializing in cloud-native AI SaaS platforms
Senior Software Engineer specializing in Healthcare AI and FinTech platforms
“Google Health engineer who owned and shipped an AI-powered clinical insights dashboard and NLP clinical note extraction service end-to-end (React/Next.js frontend; Python/Node microservices on GKE; TensorFlow transformers; BigQuery analytics). Demonstrated strong production rigor (CI/CD, testing, observability, guardrails for sensitive data) and delivered measurable outcomes including 30% faster diagnostics, 40% less manual documentation, 15% higher adoption, and 25% lower ops costs.”