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Vetted Engineering Professionals in Remote
Pre-screened and vetted in Remote.
Popular Titles
Senior Full-Stack Engineer specializing in AI, Web3, and scalable web platforms
Sumer Joshi
Senior Full-Stack Engineer specializing in backend systems and AI applications
“Candidate is deeply focused on AI-native software development, using a deliberate planner/implementer agent workflow with tools like Cursor, Claude, and Kimi. They also built a personal project called Config Proctor, an AI-agent-driven Terraform/AWS self-healing system that identifies infrastructure configuration gaps and proposes fixes.”
Isiah Udofia
Junior Full-Stack/Product Builder specializing in AI and digital health
“Co-founded academic-index (10,000+ users) and built a full-stack Next.js 14 document upload + client-side OCR + Gemini-powered analysis pipeline with strong production reliability (custom monitoring, retries, quality gates) and measurable gains (accuracy ~94%→98.5%, failures down ~60%). Also owns end-to-end biometric data visualization and a data-driven brand/UX overhaul at pre-seed health/performance startup Absolute Rest, with a background running a multi-client dev studio (Zen Digital).”
Staff Software Engineer specializing in FinTech, AI/ML, and cloud microservices
Principal Data Engineer specializing in cloud-native AI and data platforms
Senior Software Engineer specializing in data lineage and cloud data platforms
Elvis Rodriguez
Mid-Level Software Engineer specializing in Python, data pipelines, and FinTech systems
“Software/data engineer with experience at Google and on Bloomberg-related financial data modernization, building Python pipelines that convert legacy financial datasets into modern structures and iterating based on client feedback (e.g., adding historical change tracking for private placement data). Also built an internal Google usage-metrics dashboard pipeline using Protocol Buffers and scaled execution via sharded parallel cron jobs while scheduling off-hours to avoid impacting a testing tool.”
Michael Brinkman
Senior Software Engineer specializing in distributed systems for FinTech and Healthcare
“Fintech engineer with high-ownership startup experience at Column, where they led a Go rewrite of a core banking API that cut transaction errors by 98% and increased throughput by 40%. Brings a rare mix of backend systems depth in compliance-sensitive money movement infrastructure and frontend platform experience building React design systems, with earlier experience at Meta on recommendation APIs and News Feed.”
Mid-level Software Engineer specializing in robotics, AI, and full-stack systems
Senior Software Engineer specializing in cloud payments, cryptography, and low-latency systems
Staff-level Full-Stack/Platform Engineer specializing in cloud, serverless, and AI search
Senior Backend Engineer specializing in Python, cloud migrations, and real-time data processing
Senior Full-Stack Engineer specializing in cloud-native AI and healthcare platforms
Senior Software Engineer specializing in distributed systems and cloud platforms
Senior .NET Developer specializing in cloud-native microservices for healthcare and FinTech
Staff Software Engineer specializing in Unity mobile game development
Eric Majewicz
Staff Frontend Engineer specializing in enterprise SaaS, analytics, and AI-powered products
“Frontend tech lead at HubSpot who shipped an LLM-powered insights dashboard that analyzed complex customer interaction histories and surfaced sentiment, challenges, and next-best actions for sales users. Stands out for having taken an AI feature beyond prototype into beta and full production, with strong emphasis on testing, maintainability, and practical production tradeoffs.”
Sara Fang
Mid-level Software Engineer specializing in cloud data platforms and distributed systems
“Backend/data engineer with production experience building FastAPI services with strong reliability patterns (circuit breaker, rate limiting, caching, graceful degradation) and JWT/OAuth2 auth. Has delivered AWS EKS deployments via Terraform with Secrets Manager/IRSA and HPA autoscaling, and built Glue/Spark ETL pipelines on S3 Parquet with schema-evolution and idempotent reruns; also demonstrated measurable SQL tuning impact (20–30s to <10s).”