Pre-screened and vetted.
Mid-level Full-Stack Developer specializing in cloud-native and AI-powered platforms
Mid-level Software Engineer specializing in distributed systems for Healthcare and E-commerce
Mid-Level Full-Stack Software Engineer specializing in FinTech and Healthcare
Mid-Level Backend Engineer specializing in microservices and high-scale APIs
Senior Software Engineer specializing in data platforms, automation, and ML/LLM pipelines
Staff Software Engineer specializing in payments platforms and event-driven microservices
Staff Software Engineer specializing in payments platforms and event-driven microservices
Mid-level Software Development Engineer specializing in FinTech distributed systems
Mid-level Software Developer specializing in Java microservices and distributed systems
Senior Solutions Consultant / Integration Engineer specializing in enterprise SaaS, payments, and automation
Mid-Level Software Engineer specializing in distributed systems and FinTech
Junior Full-Stack Software Engineer specializing in web platforms and algorithms
Intern Software Engineer specializing in cloud governance and distributed systems
Junior AI Product Engineer specializing in LLM workflows and analytics automation
Mid-level Backend Software Engineer specializing in FinTech APIs and microservices
“Backend/event-driven systems engineer who built an end-to-end “software robot” for AI-driven invoice processing: FastAPI ingestion + OCR integration + classification mapping, with strong emphasis on reliability (idempotency, retries) and scalability (background workers, event-driven architecture). Experienced in production-grade distributed systems tooling (Kafka, Docker/Kubernetes, GitHub Actions, ArgoCD) and real-time debugging via tracing/telemetry, and expects $10k–$12k/month.”
Senior Full-Stack Software Engineer specializing in cloud-native microservices and web apps
“Backend-focused engineer building customer support/order-tracking platforms with Java 17/Spring Boot microservices and a React/TypeScript frontend. Deep experience running event-driven systems on Kubernetes (Kafka, Redis, MySQL) with strong observability (Prometheus/Grafana/Splunk), SLOs, and safe deployment practices (feature flags, canaries). Also built an internal monitoring/debugging dashboard that consolidated metrics and logs for on-call engineers and was adopted by other teams to speed incident response.”
Senior Full-Stack Java Engineer specializing in cloud-native microservices
“Backend/platform engineer who owned high-volume Java/Spring Boot microservices on AWS (Kafka + RDS/DynamoDB) and has hands-on experience debugging complex production latency incidents across DB, JVM/GC, and async consumers. Also shipped applied AI features for ops, including an LLM-powered log analysis assistant and an incident-response agent with strong safety guardrails (schema-validated tool use, retries/backoff, and human-in-the-loop escalation).”
Mid-Level Software Engineer specializing in backend systems and LLM/RAG applications
“Backend/AI engineer at Intuit who built a production AI-powered case assistant for support agents (FastAPI on AWS EKS) combining Postgres case data, OpenSearch retrieval with embedding reranking, and internal LLMs. Improved peak-season reliability by diagnosing P95/P99 timeout spikes and cutting P95 latency from ~800ms to <400ms via composite indexing, keyset pagination, connection pool tuning, and caching, while adding grounded-generation guardrails (evidence packs, confidence thresholds, fallbacks, human-in-the-loop).”