Pre-screened and vetted.
Senior Full-Stack Software Engineer specializing in scalable microservices and cloud platforms
Mid-Level Software Engineer specializing in full-stack and backend systems
“Backend-leaning full-stack engineer with experience at Liberty Mutual and Airbnb, building high-scale insurance claims systems (1M+ monthly transactions) and consumer booking/pricing services (120K–180K daily requests). Strong in transactional data integrity, PostgreSQL performance tuning, and production operations (Docker/Jenkins/AWS), with measurable UX/performance wins including ~2.3s page loads and significant runtime failure reduction.”
Mid-Level Full-Stack Software Engineer specializing in Java/Spring, React, and AWS
“Backend/full-stack engineer (5+ years) with Shopify experience integrating LLM/RAG workflows into production APIs. Owned a Python TensorFlow Serving inference pipeline connected to Java microservices via gRPC, optimizing tail latency at ~10k concurrent load and improving retrieval relevance with embedding and evaluation work. Strong Kubernetes/EKS + GitOps/CI/CD background, including monolith-to-microservices migrations and event-driven streaming patterns.”
Mid-Level Software Engineer specializing in real-time data pipelines and ML deployment
“Ticketmaster data engineer who built CDC-driven Kafka pipelines feeding Snowflake for analytics and data science teams. Hands-on in production operations—scaled Kafka during sudden playoff-driven transaction spikes and improved monitoring for preemptive scaling. Known for using small-batch experiments and quantitative metrics to align stakeholders and drive cost-saving architecture changes (e.g., buffering to reduce AWS Lambda invocation frequency).”
Mid-level Software Engineer specializing in LLM systems and intelligent search
“Backend engineer from Palantir who built and productionized an enterprise LLM-based document intelligence/search platform, evolving it into a hybrid lexical+vector retrieval system. Emphasizes reliability and cost control via strict LLM gating, robust fallback paths, and evaluation frameworks (e.g., MMLU/BLEU), plus disciplined migration practices (feature flags, dual-writes, shadow reads) to ship changes safely at scale.”
Junior Full-Stack Developer specializing in cloud-native microservices
Mid-level Full-Stack Python Engineer specializing in cloud-native payments and data pipelines
Mid-level Java Full-Stack Developer specializing in cloud-native microservices
Mid-level Full-Stack Developer specializing in cloud-native data platforms
Senior Software Engineer specializing in scalable platforms and AI-driven personalization
Mid-Level Software Engineer specializing in cloud-native microservices and real-time ML pipelines
Senior Software Engineer specializing in cloud-native microservices and FinTech platforms
Mid-level Software Engineer specializing in FinTech payments and compliance systems
Mid-level Software Engineer specializing in Python, cloud tooling, and NLP/RAG systems
Mid-Level Full-Stack Software Engineer specializing in web apps, cloud, and data visualization
Senior Full-Stack Developer specializing in AI-driven cloud-native systems