Pre-screened and vetted in Texas.
Mid-level Full-Stack Java Developer specializing in microservices and cloud on AWS
Mid-Level Full-Stack Java Developer specializing in cloud-native microservices
Mid-level Full-Stack Java Developer specializing in microservices and AWS
Mid-level Full-Stack Java Engineer specializing in cloud-native microservices (Healthcare & FinTech)
Mid-level Full-Stack Java Engineer specializing in FinTech and digital payments
“Built and shipped an LLM-powered support assistant for a fintech payment reconciliation system that automated failed-transaction analysis at scale. Delivered measurable production outcomes (40% less manual reconciliation, 25% better detection accuracy, 99%+ uptime) and implemented strong reliability patterns (Prometheus/Grafana monitoring, retries/fallbacks, idempotency, Resilience4j circuit breakers) plus iterative retraining driven by real error analysis.”
Senior Full-Stack Java Developer specializing in microservices and cloud platforms
Senior Full-Stack Java Engineer specializing in AWS cloud-native microservices
Senior Software Engineer specializing in distributed systems for FinTech and healthcare
Mid-level Full-Stack Java Developer specializing in microservices and cloud-native systems
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
“Full-stack engineer focused on enterprise, cloud-native microservices—building Spring Boot backends and React/Angular front ends with strong security (OAuth/JWT), AWS infrastructure (RDS/S3), and containerized deployments (Docker/Kubernetes). Has delivered data-heavy order/account/transaction platforms and healthcare solutions including EHR integrations for secure patient data exchange, with emphasis on testing, performance tuning, and reliability (load testing).”
Senior Full-Stack Java Developer specializing in cloud-native microservices
“Backend/platform engineer with production ownership of high-volume transaction analytics and fraud monitoring services built in Java/Spring Boot. Has scaled data processing platforms (including healthcare datasets) and operated Kafka-based event pipelines with schema versioning, deduplication, and replay/backfill workflows, using strong observability via CloudWatch/Grafana and CI/CD with Jenkins.”
Senior Full-Stack Java Developer specializing in microservices and cloud platforms
“Backend engineer focused on scalable Python/Flask services and high-performance PostgreSQL/SQLAlchemy systems, with demonstrated wins like reducing N+1-driven response times to under 200ms and cutting P95 latency below 1s via background queues and caching. Has production experience operationalizing ML models as Dockerized APIs on AWS (S3/Lambda) with monitoring (CloudWatch/ELK), plus robust multi-tenant isolation using JWT-driven tenant context and row-level security.”
Mid-level Java Full-Stack Developer specializing in banking and telecom platforms
“Frontend-focused engineer with experience at T-Mobile and U.S. Bank who maintained a TypeScript utility library (types, tests, build pipeline, and docs) adopted by multiple teams, and improved React workflow performance by refactoring components and optimizing data fetching. Known for pragmatic cross-team support—reproducing issues quickly, shipping well-tested fixes, and managing changes carefully to avoid breaking downstream apps.”
Mid-level Full-Stack Software Engineer specializing in FinTech and cloud-native microservices
Mid-level Full-Stack Java Developer specializing in microservices and AWS cloud
Mid-level Full-Stack Java Developer specializing in microservices and cloud deployments
Mid-level Full-Stack Java Developer specializing in FinTech and cloud-native microservices
Senior Full-Stack Java Developer specializing in microservices and cloud-native web applications
Mid-level Full-Stack Java Developer specializing in microservices, cloud, and React
Mid-level Full-Stack Java Developer specializing in microservices and cloud (AWS/Azure)
“Backend/full-stack Java engineer at PNC Bank specializing in real-time fraud detection systems. Built event-driven Spring Boot + Kafka microservices with PostgreSQL/Redis performance tuning, and shipped a production LLM-powered RAG feature for fraud analysts with strong guardrails (grounded internal data, structured prompts with references, human-in-the-loop) plus an evaluation loop using labeled historical fraud cases.”
Mid-level Full-Stack Java Developer specializing in Spring and React