Pre-screened and vetted.
Senior Full-Stack Engineer specializing in AI/GenAI and cloud-native platforms
Mid-level Full-Stack Python Developer specializing in cloud-native platforms and payments
Mid-level Software Engineer specializing in real-time backend systems and FinTech payments
Senior Software Engineer specializing in Python, cloud microservices, and conversational AI
Senior AI/ML Engineer specializing in computer vision, NLP, and real-time forecasting
Senior Full-Stack Engineer specializing in FinTech and fraud/risk systems
Senior Software Engineer specializing in cloud platforms for healthcare and e-commerce
Senior Software Engineer specializing in cloud platforms, data pipelines, and ML
Principal AI Infrastructure Engineer specializing in distributed systems and streaming platforms
Senior Software Engineer specializing in AI-powered healthcare and distributed systems
Senior Software Engineer specializing in data platforms, APIs, and healthcare systems
Mid-level Full-Stack Software Engineer specializing in scalable FinTech and analytics platforms
“Senior full-stack engineer with 5 years of experience across Bank of America, AT&T, and NextAI/XAI, building cloud-native, high-availability products spanning React, Node, Java, Kotlin, Python, and AWS. Particularly compelling for teams needing someone who can own architecture, implementation, DevOps, and UX polish end-to-end—from a real-time loan eligibility platform handling 50,000+ daily requests to live event dashboards that improved operations and helped drive $250K in ARR.”
Senior Engineering Manager specializing in cloud-native e-commerce and payments platforms
“Senior Engineering Manager with large-scale platform/API ownership at eBay, leading a globally distributed team and redesigning Order public APIs used by external developer ecosystems at ~800M requests/day, delivering 84% performance gains and reducing compute by ~300 VMs. Also led Google CRES ETL migration work on GCP, creating reusable Python libraries to standardize configuration across 10 integrations and improve developer productivity.”
Senior Backend Engineer specializing in Node.js, Java, and regulated SaaS platforms
“Built a production LLM-powered root cause analysis agent for supply chain alerts that helped operations managers avoid manual dashboard investigation. Demonstrates unusually strong depth in agent reliability, orchestration, and observability, with concrete production practices like hallucination blocking, shadow testing on 500 cases, and data-driven improvements that raised user agreement to 94% while cutting GPT-4 usage by 60%.”
Senior Full-Stack Engineer specializing in Java microservices and cloud-native platforms
“Backend-focused engineer with Walmart Global Tech experience building shipment and seller workflow systems using Spring Boot, GraphQL, Kafka, and async processing. Stands out for improving bulk label API performance by 60-75%, designing item-level partial-failure workflows that improved user clarity, and also exploring AI-powered debugging/RCA platforms with Java, Python, LangChain, and LLM integrations.”
Executive engineering leader specializing in AI-native transformation and cloud modernization
“Senior software engineering leader who owned the architecture and delivery of a major VerizonWireless.com transformation, migrating an ATG monolith to Spring Boot/Java microservices with an event-driven architecture across 13 domains. Combines hands-on system design depth with business-facing architecture leadership and team scaling in complex enterprise environments.”
Senior Data Engineer specializing in real-time data platforms and lakehouse architectures
“Senior, product-focused engineer who has built real-time customer-facing web applications and a microservices backend (TypeScript/React/Node) using RabbitMQ, MongoDB, and Redis. Demonstrates strong operational maturity (idempotency, tracing/observability, backpressure) and built an internal console that became the primary tool for debugging, replaying jobs, and managing system behavior.”
Director of Security & Data Platform Engineering specializing in AI-driven cloud security
“Player-coach engineering leader focused on scalable data security scanning and risk detection in hybrid cloud, owning architecture and core implementation of an incremental/parallel DSPM scanning engine. Shipped production improvements including 60% lower scan latency and 30% fewer false positives, with strong emphasis on correctness under concurrency, multi-tenant observability (SLOs/burn-rate alerts), and disciplined rollout practices (feature flags, shadow scans, canaries).”