Pre-screened and vetted.
Mid-level Software Engineer specializing in backend systems for FinTech and SaaS
“Amazon engineer with a blend of backend platform and applied AI experience, spanning Kafka/Spring Boot/Django financial workflows and internal LLM-powered RAG systems for reconciliation investigations. Stands out for owning deployments end-to-end, improving reliability in high-volume transaction processing, and adding practical guardrails like confidence checks and human review to production AI workflows.”
Mid-level DevOps & MLOps Engineer specializing in cloud-native CI/CD and Kubernetes
Senior Software Engineer specializing in backend microservices and AI/ML integrations
Senior DevOps Engineer specializing in cloud-native CI/CD and Kubernetes
Senior Full-Stack Python Engineer specializing in cloud microservices and MLOps
Senior Full-Stack Java Developer specializing in microservices, cloud, and real-time systems
Mid-level Full-Stack Java Developer specializing in microservices and cloud platforms
Senior Software Engineer specializing in backend systems and AI-driven automation
Mid-level Full-Stack Developer specializing in cloud-native FinTech platforms
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Senior Software Engineer specializing in Unity, real-time multiplayer, and LLM integration
Mid-level Software Developer specializing in cloud microservices and full-stack platforms
Senior Full-Stack Software Engineer specializing in cloud microservices and GenAI
Junior Software Engineer specializing in LLMs, RAG, and Knowledge Graphs
Senior AI/ML Engineer specializing in Generative AI and Computer Vision
Senior Full-Stack .NET Engineer specializing in FinTech payments and event-driven microservices
Senior Software Engineer specializing in Healthcare IT platforms
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
“Software engineer with strong compliance-domain experience who built a customer-facing compliance and reporting dashboard using React/TypeScript with Spring Boot microservices. Demonstrates mature production engineering practices—contract-first APIs, event-driven architecture (Kafka/RabbitMQ), caching (Redis), and robust CI/CD + observability (Prometheus/Grafana/ELK)—and also created a Python-based audit automation tool adopted into the standard release process.”