Pre-screened and vetted.
Senior Software Engineer specializing in cloud-native backend, ETL, and AI/ML on AWS
Senior Software Engineer specializing in distributed systems and cloud infrastructure
Mid-level Data Engineer specializing in cloud-native ETL and data warehousing
Mid-level Full-Stack Software Engineer specializing in FinTech and AI platforms
Mid-level AI/ML Engineer specializing in NLP, MLOps, and financial risk & fraud analytics
Junior Marketing Analyst specializing in growth and performance analytics
Senior AI/ML Engineer specializing in GenAI, MLOps, and healthcare analytics
Mid-level Data Engineer specializing in AWS lakehouse and Spark pipelines
Senior Data Engineer specializing in Cloud Data Platforms and Generative AI
Principal Software Engineer specializing in distributed systems and cloud-native backend platforms
Principal Data Scientist specializing in LLMs, RAG, and enterprise AI products
Mid-level Data Engineer specializing in GCP, Spark, and healthcare analytics
Senior Software Engineer specializing in backend systems and data engineering
Senior Software Engineer specializing in backend data platforms for FinTech
Senior Software Engineer specializing in backend systems and FinTech screening platforms
Senior Full-Stack Engineer specializing in backend, cloud, and AI systems
Mid-Level Software Engineer specializing in distributed microservices and real-time systems
“Software engineer with production experience at DraftKings and SRC, owning high-impact platform changes like early-start lineup validation fixes and a multi-service refactor to support dual-role players (e.g., Ohtani) using backward-compatible, feature-flagged rollouts. Has embedded onsite with military users to rapidly ship improvements to a COP/TAK mapping integration (TrackSync), and leverages AI tools (Claude) to accelerate learning and delivery in new domains (e.g., ESP32 smart deadbolt project).”
Director-level Product and Data Executive specializing in B2B SaaS and analytics
“Product leader with a strong track record of modernizing legacy SaaS platforms, including an API-first rebuild that increased engagement by 40% and reduced support burden. Also led AI-powered workflow automation that delivered 80-90% time savings through human-in-the-loop design, showing a pragmatic, user-centered approach to applied AI.”