Pre-screened and vetted in New Jersey.
Senior Full-Stack Developer specializing in cloud-native microservices and AWS
Mid-level Full-Stack Developer specializing in cloud-native microservices and real-time web apps
Mid-Level Software Engineer specializing in Java/Spring Boot microservices and cloud DevOps
Senior Software Engineer specializing in risk systems and event-driven data pipelines
“Backend engineer with recent Barclays experience building a Python asyncio + Kafka risk reporting service for trading desks, including a major refactor from blocking batch processing to event-driven incremental pipelines to restore intraday/EOD performance. Also shipped an applied AI feature using OpenAI fine-tuning to classify risk-breach severity and generate trader/risk-manager summaries with robust retry/fallback handling, plus demonstrated strong database/query optimization (triggers, materialized views, partial indexes) in a risk-limits/breaches domain.”
Mid-Level Software Engineer specializing in Python backend, data engineering, and cloud microservices
“Backend-leaning full-stack engineer with production experience in both healthcare (claims enrichment/interoperability at Abacus) and finance (Goldman Sachs pricing/risk APIs + React dashboards). Built an event-driven AI grading platform using Postgres Debezium CDC + Kafka + FastAPI on AWS that cut manual grading ~70% and served 1000+ students, with strong emphasis on reliability, testing, and performance tuning.”
Mid-Level Java Backend Engineer specializing in payments and cloud microservices
“Backend-focused engineer at Wells Fargo owning production payments features end-to-end, including Spring Boot REST services, CI/CD + containerized AWS deployments, and CloudWatch-based observability. Has hands-on experience stabilizing high-traffic transaction workflows and building reliable ingestion/integration flows using idempotency, retries/backoff, and reconciliation.”
Mid-Level Full-Stack Software Developer specializing in cloud-native microservices
“Backend engineer focused on high-throughput Python/Flask systems on AWS, with strong scaling and performance tuning experience (e.g., PostgreSQL join reduced from ~3s to <200ms; background aggregation cut from 10 minutes to <90 seconds with 8x throughput). Has also integrated ML model serving into production APIs (churn prediction) using Celery/Redis batching and AWS Lambda/S3, and designed secure multi-tenant architectures with PostgreSQL schema isolation and row-level security.”
Mid-level AI/ML Engineer specializing in NLP, LLMs, and MLOps
Junior Software Engineer specializing in full-stack, cloud, and DevOps
Mid-Level Software Engineer specializing in microservices and AI/ML systems
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices and APIs
Mid-Level Software Engineer specializing in microservices, cloud, and AI/ML