Pre-screened and vetted.
Senior Software Engineer specializing in distributed systems, data platforms, and AI workflows
Director-level Engineering Leader specializing in platform, data, and cloud systems
Staff Software Engineer specializing in full-stack platforms and cloud-native microservices
Mid-level Full-Stack Developer specializing in AI-driven FinTech platforms
Senior Business Analyst specializing in data analytics and business intelligence
Mid-level Software Engineer specializing in distributed systems and data platforms
Mid-level UI Developer specializing in real-time dashboards for FinTech and Healthcare
Mid-level Software Engineer specializing in financial data platforms and quantitative research tooling
“Owned and built Bloomberg’s end-to-end bitemporal dividend & dividend-forecast data platform powering BQL for 400k+ terminal users. Architected real-time Kafka ingestion (5k–10k msgs/sec) across 100k+ tickers with strong correctness guarantees (PIT/bitemporal time-travel, immutable history to avoid look-ahead bias) and achieved sub-100ms p95 query latency through indexing and caching, deployed with Kubernetes + DLQ and robust monitoring.”
Mid-Level Software Engineer specializing in cloud-native microservices and event-driven systems
“Full-stack engineer with production experience at Atlassian and Zoho, spanning GraphQL federation, React/TypeScript frontends, and cloud-native AWS/Kubernetes operations. Built and operated a federated GraphQL gateway with Terraform + CI/CD + observability, delivering major latency and integration-time improvements, and also designed high-volume Kafka data pipelines (10M+ events/day) with strong reliability guarantees.”
Mid-level Generative AI Engineer specializing in RAG, agentic copilots, and regulated AI
“Senior engineer who built and productionized an Azure-based Enterprise AI Copilot for financial/compliance teams, focused on grounded, auditable answers with citations to reduce hallucinations in regulated workflows. Experienced designing multi-step agent orchestration and improving reliability through targeted iterations (e.g., fixing chunking/parsing to materially improve citation accuracy), plus building defensive pipelines for messy ERP/operational finance data.”
Principal Product Engineer specializing in FinTech platforms, experimentation, and AI workflows
“Fintech product engineer working on a large-scale credit monitoring platform (tens of millions of users) with deep experience in regulated banking integrations, PII security, and step-up/MFA flows. Has shipped customer-facing React/TypeScript experiences driven by Optimizely experimentation and built reliable partner-facing microservices/SDKs on AWS, including resolving production traffic loss caused by edge security (DataDome/CAPTCHA) conflicts with payment providers.”
Senior Frontend/Full-Stack Engineer specializing in e-commerce platforms and gaming
“Frontend engineer who led Take-Two’s first direct-to-consumer e-commerce platform, setting up a React/Next.js monorepo with CI/CD and semantic releases. Built a centralized, SSR-based payment micro-frontend (iframe + postMessage) integrating providers like PayPal/Braintree and Xsolla while meeting legal constraints around sensitive data, and drove measurable performance gains (~40% faster loads) through SSR and multi-layer caching (including Redis).”
Mid-level AI Engineer specializing in Generative AI, LLMs, and RAG systems
Junior UX Design Engineer specializing in AI-driven web and product experiences
Mid-level Python Full-Stack Developer specializing in AI-driven cloud applications
Staff Software Engineer specializing in Healthcare Platforms and Observability
Staff Software Engineer specializing in cloud-native healthcare platforms and ML systems
Mid-Level Software Engineer specializing in distributed systems and cloud data pipelines
Mid-level Software Engineer specializing in AI backend, distributed systems, and GPU inference
Mid-Level Software Developer specializing in AI backend systems and distributed computing
Executive technology leader specializing in AI, cloud platforms, and enterprise SaaS