Pre-screened and vetted in the Greater Phoenix.
Mid-level Backend/Full-Stack Engineer specializing in AI and FinTech payments
“Full-stack engineer who has owned an operational reporting/dashboard product end-to-end—building a React UI, designing/implementing FastAPI services, and deploying/operating on AWS. Demonstrates strong performance engineering (Postgres query/index tuning using EXPLAIN ANALYZE) with concrete impact (reports reduced from tens of seconds to a few seconds) and a reliability mindset across observability, migrations, and resilient third-party/ETL integrations.”
Mid-level Full-Stack Engineer specializing in cloud microservices and NLP/LLM systems
“Full-stack engineer with 3+ years using Java/Spring Boot (Citi) and React, who built a production observability dashboard monitoring 53 microservices across 17 clusters with real-time health/latency tracing and significant performance improvements (cut load time from ~10s). Also designed a serverless AWS face-recognition system (Lambda/S3/SQS) built to handle burst traffic (~1000 concurrent requests), demonstrating strength in scalable, event-driven architectures.”
Mid-level Full-Stack Software Engineer specializing in cloud-native FinTech and SaaS platforms
Mid-level Full-Stack Java & AI Engineer specializing in cloud-native microservices and RAG assistants
Mid-level Full-Stack Developer specializing in cloud-native microservices and distributed systems
“Software engineer with hands-on ownership of both fintech checkout improvements (saved payment methods/one-click checkout with tokenization and feature-flag rollouts) and production LLM/RAG systems for customer support. Demonstrates strong operational rigor via guardrails, evaluation loops integrated into CI/CD, and scalable data pipelines handling messy PDFs/CSVs/logs with reliability and observability.”
Senior Full-Stack Engineer specializing in web applications and enterprise automation
Senior AI/ML & Full-Stack Engineer specializing in GenAI, RAG, and MLOps platforms
“Backend/data platform engineer who owned end-to-end production services for a fleet analytics/GenAI platform, spanning FastAPI microservices on Kubernetes and AWS (EKS + Lambda) event-driven workloads. Strong in reliability/observability (OpenTelemetry, circuit breakers, idempotency), data pipelines (Glue/Airflow/Snowflake), and measurable performance/cost wins (SQL 10s to <800ms P95; ~30% compute cost reduction).”
Mid-level Full-Stack & AI Engineer specializing in data platforms and LLM applications