Pre-screened and vetted.
Director-level Engineering Manager specializing in data platforms and AI infrastructure
Senior Go & Python Engineer specializing in cloud-native microservices
Mid-Level Software Engineer specializing in Go microservices, cloud-native systems, and AI integration
Mid-level Software Engineer specializing in AI/ML, GenAI agents, and cloud microservices
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Mid-level Full-Stack Java Developer specializing in microservices and cloud platforms
Senior Software Developer specializing in cloud-native microservices and real-time analytics
Mid-level Backend/Distributed Systems Engineer specializing in cloud-native data pipelines
Mid-level DevOps Engineer specializing in multi-cloud Kubernetes and CI/CD automation
Mid-level Data Engineer specializing in cloud data pipelines and analytics platforms
Senior Full-Stack Software Engineer specializing in Java/Spring Boot and AWS
Junior Full-Stack Software Engineer specializing in Real Estate SaaS and AI automation
Mid-Level Software Engineer specializing in full-stack systems and cloud platforms
Senior Data Engineer specializing in cloud data platforms and real-time pipelines
Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines
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).”