Pre-screened and vetted.
Mid-level Full-Stack Java Engineer specializing in scalable microservices and real-time data systems
Mid-level Data Engineer specializing in cloud data pipelines and lakehouse/warehouse platforms
Senior Full-Stack Engineer specializing in cloud-native .NET microservices
Entry-Level Software Development Engineer specializing in AWS serverless and distributed systems
Senior AI/ML Engineer specializing in personalization, recommendations, and forecasting
Senior Software Engineer specializing in AI-native backend platforms for Healthcare and FinTech
Senior Software Engineer specializing in AI workflow orchestration and distributed systems
Senior Full-Stack Engineer specializing in scalable platforms across insurance, media, and finance
Mid-level Full-Stack Engineer specializing in AI platforms and FinTech
Senior Software Engineer specializing in backend platforms and data systems
Senior Backend Engineer specializing in Healthcare & Cloud Platforms
Senior Data Engineer specializing in cloud data platforms and large-scale ETL
Executive CTO specializing in AI systems, FinTech, and high-scale platforms
Mid-level Software Engineer specializing in backend systems, billing, and real-time data pipelines
Intern Software Engineer specializing in full-stack, cloud, and AI systems
Senior Full-Stack Engineer specializing in AI platforms and scalable web systems
“Built and shipped production agentic/LLM systems that could safely perform real customer and subscription operations, not just answer questions. Demonstrates unusually strong depth in agent orchestration, tool safety, evals, tracing, and backend workflow design across Node.js/TypeScript, Go, Redis, Postgres, Kafka, and GPT-4.”
Junior Software Development Engineer specializing in cloud security and CI/CD
“Backend/security-focused engineer supporting a service with 100k+ monthly users. Built an automated load-testing suite that reproduced and mitigated catastrophic host failures from oversized SCP/rsync transfers via host-level throttling, and proposed a future sharding approach for very large transfers. Also created an internal agent to summarize anomalous metrics and provide ready-to-run debug queries, significantly reducing ops review time.”
Mid-level DevOps Engineer specializing in AWS, Azure, Kubernetes, and cloud automation
“Built and owned end-to-end deployment and AI support workflows spanning CI/CD, Kubernetes, Terraform, and LLM/RAG systems. Stands out for combining DevOps delivery with production AI operations, including secure tool-calling, incident debugging, retrieval quality controls, and validation-first document ingestion for messy real-world inputs.”