Pre-screened and vetted.
Senior Full-Stack Engineer specializing in cloud-native SaaS and AI/ML integration
Intern Computer Vision/ML Engineer specializing in mapping, localization, and scalable inference
Senior .NET Developer specializing in cloud-native microservices for healthcare and FinTech
Mid-level AI/ML Engineer specializing in LLM RAG pipelines and cloud MLOps
Mid-level Software Engineer specializing in real-time audio and WebRTC
Mid-level Full-Stack Java Developer specializing in cloud and healthcare systems
Senior Software Test Engineer specializing in QA automation and API/E2E testing
Senior Full-Stack Python Developer specializing in cloud, data platforms, and GenAI
Intern Backend/Full-Stack Software Engineer specializing in cloud-native web systems
Mid-level Full-Stack Developer specializing in Java/Spring Boot, React, and cloud microservices
“Backend engineer with hands-on experience building Python/Flask microservices using PostgreSQL/SQLAlchemy, JWT auth, Docker, and GitHub Actions CI/CD. Strong in performance and scalability work—migrated heavy processing to Celery/Redis, tuned queries with EXPLAIN ANALYZE and indexing, and delivered 50%+ API latency reduction. Also integrates AI workflows (OpenAI APIs) with batching/caching/fallbacks and has implemented multi-tenant data isolation patterns.”
Mid-level Full-Stack Developer specializing in cloud-native backend services and real-time data platforms
“Backend/data engineering candidate with Netflix experience designing and migrating analytics platforms from batch to real-time streaming (Kafka/Flink) across AWS and GCP. Delivered measurable improvements (40% lower data delay, 99.9% accuracy) using phased rollouts, automated data validation (Great Expectations), and strong observability (Prometheus/Grafana), and proactively hardened pipelines with idempotency to prevent duplicate Kafka processing.”
Mid-level Full-Stack Software Engineer specializing in cloud microservices and AI integration
“Backend/distributed-systems engineer with Uber experience building real-time telemetry and safety signal pipelines. Strong in Kafka-based event-driven architectures, low-latency processing under peak load, and production reliability via monitoring, retries, and fallback logic; has Docker/Kubernetes and CI/CD deployment experience.”