Pre-screened and vetted.
Mid-Level Software Engineer specializing in AI agents and Generative AI
“Backend engineer who built and evolved an internal multi-agent AI research platform (Electron + FastAPI) integrating OpenAI, focused on fast, reproducible experimentation with strong observability and run metadata for debugging. Has led incremental backend refactors with feature flags and parallel validation, and brings production-grade access control expertise from ServiceNow (table/field ACLs and row-level-style enforcement).”
Mid-level Data & Business Analyst specializing in analytics engineering and BI
“Data/analytics professional with experience across manufacturing and enterprise environments (Wisconsin School of Business project with CNH Industrial; roles/projects at Ascensia Technologies, S&C, and Adobe). Has hands-on work combining warranty/lifecycle tables with technician free-text notes using TF-IDF + tree models (XGBoost/Random Forest), and deep experience in entity resolution/reconciliation across mismatched financial systems using Python/SQL and fuzzy matching, with production-grade pipeline practices in Azure Data Factory/Databricks.”
Executive enterprise architect specializing in cloud, cybersecurity, and platform modernization
“Architect with early startup experience (1999-2000) who later worked with Capital One evaluating startup products, strategy, and roadmaps. Brings a structured approach to innovation through market research, competitor analysis, risk assessment, gap analysis, and proof-of-concept thinking.”
Mid-Level Software Engineer specializing in full-stack development and AWS
“Backend-focused Python engineer who built an end-to-end personalized chatbot service integrating Amazon Redshift context retrieval with Amazon Bedrock, including prompt construction and production-grade reliability controls. Strong platform experience deploying containerized services to Kubernetes with GitOps/ArgoCD, plus hands-on Kafka streaming and phased infrastructure migration execution.”
Mid-level Backend Software Engineer specializing in Python APIs and payment systems
“Backend/ML systems engineer with Stripe payments experience who built an asynchronous processing upgrade handling millions of API requests, cutting peak latency ~20–25% while preserving strict financial consistency via idempotency-safe retries and robust validation/fallbacks. Also built scalable ETL pipelines for messy CSV/Excel/API data with strong observability (structured logging/monitoring) and reliability mechanisms.”
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.”
Director of Software Engineering specializing in fraud detection and payments platforms
“Engineering manager/player-coach who focuses on laying technical foundations and improving team execution: kickstarted Visa standard UI library adoption, standardized API exception handling, and introduced a test automation framework that enabled a shift from quarterly to monthly releases. Led a phased latency/throughput initiative that doubled throughput, and owned a production incident caused by a dependency’s expired certificate, driving monitoring and certificate-expiry notification improvements across dependent systems.”
Executive Operations Leader specializing in legal operations and AI-enabled transformation
“Current COO who rebuilds and scales operational backbones end-to-end—data architecture, workflows, dashboards, and operating cadence—creating real-time visibility into pipeline, cycle times, and revenue forecasting. Known as a cross-functional integrator (hiring, GTM, finance, investors) who drives tough tradeoffs and turns ambiguity into durable operating systems.”
Mid-level Data Scientist specializing in machine learning and big data analytics
“Walmart engineer who built and shipped a production LLM+RAG system to automate triage and analysis of computer support chats/tickets, producing grounded, schema-constrained JSON outputs for summaries, urgency, and routing recommendations. Emphasizes reliability (hallucination control, confidence thresholds, human-in-the-loop) and runs end-to-end pipelines with Airflow and AWS-native orchestration, plus rigorous evaluation and monitoring tied to business KPIs.”
Junior Software Engineer specializing in cloud infrastructure and full-stack web development
“Full-stack/platform engineer who has owned real-time analytics products end-to-end and built scalable TypeScript/React + Node.js systems using event-driven and microservices architectures (Kafka/RabbitMQ). Also created a widely adopted Go CLI that standardized AWS/Terraform provisioning across multiple teams, cutting environment setup from days to minutes through opinionated defaults, documentation, and cross-org partnerships.”
Mid-level Software Engineer specializing in backend systems and AI
“Founding/early backend engineer at ATICA Global who built the company's core hotel property management platform from an empty repo into a production system used by 500+ hotel clients. Combines strong backend architecture with pragmatic product execution, including a dynamic pricing engine that increased partner revenue 17% YoY and an AI-powered sentiment pipeline processing 200K+ reviews/month.”
Executive software engineering leader specializing in SaaS platform modernization and AI
“Senior engineering leader with over 20 years of management experience and a hands-on background leading large-scale SaaS, eCommerce, CRM, and customer data platform systems serving millions of users. Stands out for combining deep technical architecture leadership with org-scale people management, including solving multi-tenant SaaS scaling issues, driving self-service product improvements from support patterns, and building governance models for cross-functional delivery.”
Senior Software Engineer specializing in cloud-native microservices and distributed systems
Senior Engineering Leader specializing in cloud infrastructure and distributed systems
Mid-level Software Engineer specializing in computational imaging and bioinformatics
Executive Talent Acquisition & Executive Search Leader specializing in programmatic recruiting
Executive engineering and product leader specializing in Healthcare AI and cloud platforms
Mid-level Software Engineer specializing in AWS distributed systems and Salesforce platforms
Executive engineering leader specializing in computer vision, AI, and real-time systems
Intern Full-Stack Software Engineer specializing in AI/ML and backend systems
Mid-level Python Full-Stack Developer specializing in AI-driven cloud-native applications
Executive AI strategy and engineering leader specializing in healthcare and federal AI