Pre-screened and vetted.
Executive technology leader specializing in scalable SaaS, IoT, and product engineering
Mid-level Software Engineer specializing in full-stack distributed systems
Mid-level Backend Software Engineer specializing in cloud databases
Junior Software Engineer specializing in full-stack, cloud, and AI systems
Junior Software Engineer specializing in cloud microservices and monitoring
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Executive Engineering Leader specializing in digital transformation and cloud-native platforms
Senior Software Engineer specializing in backend microservices and real-time data pipelines
Mid-Level Software Development Engineer specializing in AWS cloud, data pipelines, and MLOps
Engineering Manager and Staff Software Engineer specializing in ML platforms and FinTech risk
Junior Cloud & Full-Stack Engineer specializing in AWS and Kubernetes automation
Staff-level Backend Engineer specializing in distributed data platforms and AI infrastructure
Junior Full-Stack Engineer specializing in cloud automation and telecom systems
Mid-Level Software Development Engineer specializing in AWS serverless and backend APIs
Director-level Mobile App Engineer specializing in Flutter, AI, and web development
Senior Software Engineer specializing in backend systems and FinTech APIs
Mid-level Full-Stack Python Developer specializing in cloud-native banking applications
“Backend engineer who built a low-latency real-time transaction API in Python/Flask, with strong depth in PostgreSQL/SQLAlchemy performance tuning (time-based partitioning, indexing, connection pooling). Has production experience integrating ML scoring and OpenAI-style APIs with safety/latency controls, and designing multi-tenant isolation strategies including per-tenant pooling/caching and premium-tenant isolation.”
Mid-level Software Engineer specializing in distributed systems and growth platforms
“Backend/platform engineer with significant ownership at GoDaddy, where they built a real-time personalization and decisioning system that drove about $7M in annualized revenue and serves roughly 4M requests per day. Also operates as a solo engineer for a global human-rights legal-tech nonprofit, building the full platform and graph-based matching engine for 700+ partner organizations. Brings a strong blend of production backend rigor, platform thinking, and practical AI orchestration.”
Senior Full-Stack/Data Engineer specializing in cloud data pipelines for legal and financial platforms
“Data/analytics engineer who built and operated a DocuSign-based real-time analytics platform end-to-end, processing 20–50k webhook events/day with ~99.5% reliability. Strong in idempotent event processing, schema-evolution-safe ingestion (raw JSON + dynamic parsing), and serving data via versioned, low-latency REST APIs with solid CI/CD and observability.”