Pre-screened and vetted.
Mid-level Backend/Full-Stack Software Engineer specializing in cloud-native microservices and APIs
Mid-level Full-Stack Developer specializing in cloud-native web applications
Staff Software Engineer specializing in cloud-native microservices for financial platforms
Mid-Level Software Engineer specializing in distributed systems and AI/ML pipelines
Senior Frontend Engineer specializing in scalable web platforms
Mid-level Software Engineer specializing in full-stack systems and AI-enabled workflows
Mid-level AI/ML Engineer specializing in RAG systems and cloud data platforms
Senior Software Engineer specializing in FinTech and enterprise platforms
Junior Full-Stack Engineer specializing in AI-driven operational automation
Mid-Level Full-Stack Java Developer specializing in Spring Boot and Angular/React
Mid-level Software Engineer specializing in scalable backend and cloud-native systems
Mid-level Backend & Full-Stack Engineer specializing in AWS serverless systems
Senior Software Engineer specializing in distributed systems and cloud-native platforms
Mid-Level Software Engineer specializing in cloud-native backend and distributed systems
Director-level Data Science Manager specializing in ML forecasting, experimentation, and MLOps
“Data/ML engineer with experience at American Express and Amazon, owning an end-to-end rewards redemption/liability ML pipeline (~200GB) with rigorous regulatory/audit validation and quarterly executive reporting. Also built web-scraped product datasets with anti-bot protections at a startup and helped modernize an authn/authz service using AWS, plus led early-stage migration work from an internal warehouse to GCP with CI/CD and cloud observability.”
Director-level engineering leader specializing in identity, authentication, and AI security
“Engineering leader at Intuit focused on identity, authentication, and security infrastructure for AI integrations in highly sensitive financial workflows. Led a 10-person Tier 1 team, built an AgentIdentity framework across 3 organizations, and helped launch TurboTax/QBO integrations with ChatGPT and Claude while maintaining strict reliability and security standards.”
Mid-level Full-Stack Software Engineer specializing in cloud-native platforms
“Amazon experience integrating LLM-powered chat automation into Amazon Connect contact-center workflows, taking prototypes to production with compliance-minded guardrails, schema/policy validation, and robust fallbacks. Regularly supports rollout and adoption via developer workshops, integration guides, and customer calls, with strong production triage and observability practices.”
Mid-Level Full-Stack Engineer specializing in cloud platforms, cybersecurity web apps, and IoT
“Backend engineer with experience at Amazon building an API-driven service (APS) for large-scale prompt optimization jobs using AWS Step Functions, Batch/Fargate, DynamoDB, and S3, emphasizing idempotency, observability, and secure execution boundaries. Also led a multi-tenant enterprise policy/configuration backend refactor at MAMIT Cyber with versioned schemas, shadow writes, feature-flagged rollout, and PostgreSQL RLS-based tenant isolation.”
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.”
Executive IAM leader specializing in Zero Trust and identity security
“Hands-on technical founder building a new startup that is only weeks away from MVP and first design partner acquisition. Previously raised capital for an earlier venture, OverWatchID, and has again secured angel backing plus personal seed investment. Brings accelerator experience (SecureSet and Plug and Play), board-level VC exposure, and a strong track record across the full zero-to-one journey from product vision through early enterprise sales.”