Pre-screened and vetted in the Greater Seattle.
Junior Backend/Distributed Systems Engineer specializing in high-performance services
Mid-level Backend Software Engineer specializing in FinTech and AWS microservices
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices and DevSecOps
“Backend-leaning product engineer with DevSecOps depth who has shipped real-time, Kafka-driven data pipelines and AI-enabled customer-facing features to production on AWS. Built a Spring Boot API layer serving real-time predictions at 100K+ requests/day, improving latency by 35% and user task completion by ~25%, and delivered a React/TypeScript dashboard plus a Postgres audit/history model optimized for search and large event volumes.”
Mid-level Software Engineer specializing in backend APIs, microservices, and cloud data platforms
Mid-Level Software Engineer specializing in Java microservices and distributed systems
Mid-level Backend Software Engineer specializing in cloud-native microservices and FinTech
“Backend-focused engineer with Mastercard experience building and operating high-volume transaction-processing microservices. Has owned customer-facing banking services end-to-end and built an internal on-call analytics tool that centralized logs/metrics with real-time filtering to speed root-cause analysis and reduce incident investigation time.”
Mid-Level Full-Stack Java Developer specializing in cloud-native microservices
Junior Software Developer specializing in education and healthcare applications
Senior Software Engineer specializing in LLM applications and RAG pipelines
Mid-level Full-Stack Developer specializing in Java/Spring and modern web apps
Mid-level Full-Stack Developer specializing in cloud-native APIs and data workflows
“Built and owned end-to-end ordering and inventory/order management systems for a wholesale distributor, delivering an MVP quickly and iterating based on direct observation of daily users. Experienced with TypeScript/React + Node.js layered architectures and microservices using RabbitMQ, including real-world scaling issues (duplicates, backpressure) and observability practices (correlation IDs, structured logging).”
Mid-level Machine Learning Engineer specializing in cloud-native generative AI for healthcare
“AI engineer at Cleveland Clinic building production LLM/NLP systems for radiology documentation, focused on HIPAA-aware, real-time performance across ~298 campuses. Re-architected infrastructure with AWS event-driven services to handle scaling and improved SLA compliance ~40%, and complements this with a personal multi-agent debate system (CrewAI) using local Llama/Mistral plus rigorous evaluation (A/B tests, red teaming, observability).”
Mid-Level Full-Stack Software Engineer specializing in LLM apps and MLOps
Mid-Level Full-Stack Software Engineer specializing in microservices and Angular/.NET
Mid-Level Full-Stack Software Engineer specializing in cloud, microservices, and DevOps
Mid-Level Full-Stack Software Engineer specializing in web apps and data pipelines