Pre-screened and vetted.
Mid-level Software Engineer specializing in backend, cloud, and real-time/robotics systems
Mid-level Software Engineer specializing in AI, data pipelines, and regulatory platforms
Mid Backend Software Engineer specializing in SaaS and telecommunications systems
Mid-level Software Engineer specializing in enterprise AI and Salesforce CRM
Mid-level Full-Stack Developer specializing in FinTech and cloud microservices
Senior Full-Stack Software Engineer specializing in serverless AWS and scalable SaaS
Mid-level Backend Engineer specializing in cloud and distributed systems
Mid-level Software Engineer specializing in backend, cloud, and AI-integrated systems
Mid-Level Software Engineer specializing in FinTech trading and portfolio platforms
Mid-level Full-Stack Developer specializing in .NET, Python/Django, and cloud-native web apps
Mid-level Full-Stack Developer specializing in FinTech payments and secure APIs
Senior DevOps Engineer / AWS Solutions Architect specializing in Kubernetes and DevSecOps
Senior Full-Stack Software Engineer specializing in cloud-native microservices and web apps
“Backend-focused engineer building customer support/order-tracking platforms with Java 17/Spring Boot microservices and a React/TypeScript frontend. Deep experience running event-driven systems on Kubernetes (Kafka, Redis, MySQL) with strong observability (Prometheus/Grafana/Splunk), SLOs, and safe deployment practices (feature flags, canaries). Also built an internal monitoring/debugging dashboard that consolidated metrics and logs for on-call engineers and was adopted by other teams to speed incident response.”
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.”
Intern Software Engineer specializing in distributed systems and backend infrastructure
“Backend engineer with deep experience building event-driven logistics systems (orders, warehouse execution, real-time delivery tracking) using Spring Boot/PostgreSQL/Redis and strong observability (Prometheus/Grafana). Led a zero-downtime migration from monolithic MySQL to a sharded architecture for ~2M users with dual-write, checksum validation, and fast auto-rollback, and has strong security expertise including PostgreSQL RLS for multi-tenant SaaS and robust OAuth/JWT handling.”
Senior Full-Stack Engineer specializing in AI and cloud-native applications
“Built and shipped a production LLM-powered internal developer tool that accelerated code reviews by about 30% while maintaining reliability through modular orchestration, validation, and monitoring. Demonstrates strong practical depth in agent architecture, backend workflow orchestration, and observability for non-deterministic AI systems, with concrete examples of reducing agent errors by 60%.”
Principal Engineer specializing in GenAI/LLM platforms and enterprise modernization
“Built a production LLM-driven personalization microservice for realtor.com using LangChain/LangSmith with an MCP tool layer and RAG to generate schema-constrained ranked listings in real time, replacing a rule-based engine and improving engagement/lead conversion. Also owned an ambiguous cross-channel identity initiative, implementing an identity graph via Twilio Unify with required SDK and data-warehouse integration.”
Mid-Level Full-Stack Software Engineer specializing in microservices and cloud