Pre-screened and vetted.
Mid-level Backend Software Engineer specializing in FinTech payments, risk, and real-time systems
Staff Software Engineer specializing in FinTech eCommerce platforms
Senior Full-Stack Engineer specializing in cloud-native SaaS and AI/ML integration
Senior DevOps & Cloud Engineer specializing in multi-cloud platforms and Kubernetes GitOps
Senior Data Scientist specializing in AI/Deep Learning and applied machine learning
Senior Software Engineer specializing in frontend platforms for FinTech and e-commerce
Executive Engineering Leader specializing in E-commerce, SaaS, and EdTech platforms
Mid-level Full-Stack Software Engineer specializing in cloud-native and data platforms
Senior Software Engineer specializing in cloud-native backend and web/mobile apps
“Backend engineer with Tesla experience building Python-based, serverless microservices for a supply chain portal, including a MongoDB-backed tracking/logging system and a reconciler Lambda to manage retries and failures. Has hands-on Kubernetes (EKS) and GitOps (Argo CD) experience, plus real-time Kafka pipelines for fleet/IoT telemetry and proxy-based migrations from monolith systems to AWS databases.”
Executive product leader specializing in SaaS, FinTech, MarTech, and AdTech
“Product leader at FloQast who launched FQ Ops from scratch, expanding the company beyond close management into a broader workflow platform that reached 70% adoption and $4.5M ARR in its first year. Has led both product and interim design organizations, mentored multiple internal hires into PM roles, and brings a thoughtful human-in-the-loop AI philosophy shaped by leading AI strategy across more than 10 product areas.”
Mid-Level Software Engineer specializing in cloud-native distributed systems
“Gameplay engineer with hands-on ownership of a real-time C++ combat ability system, including diagnosing and eliminating large-scale combat frame spikes by refactoring hit detection to an event-driven, animation-notify approach (cut collision checks ~80%). Also implemented UE5 networked abilities (dash) with client-side prediction and server-authoritative reconciliation, plus projectile ballistics validated through debug spline visualizations and unit tests.”
Mid-level Software Engineer specializing in backend microservices and real-time payments
“Product-minded full-stack engineer who has owned customer-facing platforms end-to-end, including a unified web UI platform that increased adoption by 30% using feature flags and phased rollouts. Experienced designing TypeScript/React systems with microservices and RabbitMQ at scale, addressing reliability issues with DLQs, retries, and idempotent consumers, and building internal analytics tooling adopted company-wide within weeks.”
Mid-level Full-Stack Developer specializing in Spring Boot, React, and cloud microservices
“Backend engineer with experience at Meta and Accenture building regulated-data systems (healthcare/financial) using Python/Flask and Postgres. Has scaled high-throughput services to millions of daily requests, delivering measurable latency wins (~40% API latency reduction; ~35% faster DB-backed endpoints), and has productionized ML inference services using Docker/Kubernetes and AWS (ECS/SageMaker).”
Junior strategy and operations professional specializing in analytics and growth
“Operations and growth-oriented leader who helped build McMaster-Carr's first international sales/export function, then evolved the role into UK market growth and digital marketing. Combines cross-border operational expertise with hands-on customer experience analysis, team management, and UI/UX-driven process improvement.”
Director-level Engineering Manager specializing in cloud security platforms and AI-driven automation
“Senior engineering leader in the Bay Area with experience spanning VMware, Hortonworks/Cloudera, Barracuda, and Palo Alto Networks, including leading open-source work (Apache Knox) and architecting large-scale security platforms. Has driven disaster recovery and cloud security products, designed Python microservices for Microsoft 365 security, and scaled teams (3x) while formalizing enterprise readiness practices with automated documentation using Notebook LLM.”