Pre-screened and vetted.
Senior Platform/DevSecOps Engineer specializing in Kubernetes and secure cloud platforms
Mid-Level Software Engineer specializing in full-stack development and cloud platforms
Senior Full-Stack Software Engineer specializing in React and scalable web applications
Mid-level Software Engineer specializing in FinTech and scalable backend systems
Mid-Level Full-Stack Software Engineer specializing in Cloud, DevOps, and Platform Engineering
“Backend/Node.js-focused engineer who improved a widely used shared config/logging utility library by fixing a real-world async race condition (single disk read under concurrency) and adding stronger validation/testing, resulting in more deterministic services and faster startup/build/CI times. Also builds internal platform automation spanning Python/Go/TypeScript with strong documentation practices and security-conscious customer onboarding (e.g., sensitive Kubernetes clusters, HashiCorp Vault access issues).”
Mid-Level .NET Full-Stack Developer specializing in cloud-native web applications
“JavaScript engineer with open-source library contribution experience, including diagnosing a validation-related bug, shipping a tested fix, and improving documentation with practical examples and edge-case guidance to reduce repeated community questions. Emphasizes profiling-driven performance work, small safe refactors, and proactive ownership in fast-moving, unstructured teams.”
Mid-level Software Engineer specializing in full-stack web, Go microservices, and AI integrations
“Backend/LLM engineer who ships production internal tooling end-to-end: automated data-request processing with monitoring-driven improvements (better error diagnostics and lower latency via query/index tuning). Also built a RAG-based internal Q&A system over company docs and operational logs with guardrails (similarity thresholds, fallbacks, response limits) and an eval loop using real user queries and human review to drive prompt/retrieval changes.”
Junior AI/ML Engineer specializing in LLM agents and RAG systems
“Built and deployed a production, multi-tenant modular agentic AI platform at Easybee AI, using LangChain/LangGraph with Redis-backed durable state to make agents reusable, traceable, and auditable. Emphasizes reliability via strict tool schemas, deterministic controllers, tenant-level policy enforcement, and regression testing derived from real production failures; also delivered AI automation for legal/finance workflows (attorney draw and expense automation) with explainable, deterministic payouts.”
Mid-Level Software Engineer specializing in Java microservices and cloud-native AWS development
Junior Full-Stack Software Engineer specializing in cloud-native microservices and data platforms
Mid-Level Software Engineer specializing in cloud-native microservices and distributed systems
Mid-level AI/ML Data Engineer specializing in secure ML pipelines and AI governance
Senior Full-Stack Engineer specializing in cloud-native platforms, DevOps, and Kubernetes
Mid-level Backend Software Engineer specializing in cloud microservices and distributed systems
Mid-Level Software Engineer specializing in distributed systems and cloud platforms
Mid-level Backend Software Engineer specializing in Go/Python distributed systems
Senior Full-Stack Software Engineer specializing in AWS, .NET, and data/telemetry platforms
Mid-level Software Engineer specializing in backend APIs and React full-stack development
Mid-level Full-Stack Engineer specializing in cloud-native, event-driven data platforms
“Backend/data engineer with hands-on production experience building Python (FastAPI/Flask) data enrichment services secured with Okta OAuth2 and monitored via Splunk/Dynatrace. Has delivered AWS event-driven and data-migration solutions (Lambda + Kafka to EKS; Glue from on-prem Oracle to S3/data lake) and modernized Informatica match/merge logic to cloud services using parallel-run parity validation and stakeholder sign-off.”