Pre-screened and vetted.
Junior Technical Product Manager specializing in SaaS, AI automation, and API integrations
Mid-level Full-Stack Developer specializing in Java/Spring Boot, React, and cloud microservices
Mid-level Full-Stack Developer specializing in .NET, Python/Django, and cloud-native web apps
Mid-Level Full-Stack Software Engineer specializing in cloud microservices and LLM/RAG systems
Mid-Level Software Engineer specializing in full-stack systems and cloud platforms
Intern Software Engineer specializing in cloud governance and distributed systems
Mid-Level Software Engineer specializing in cloud-native distributed systems
Mid-level Full-Stack Developer specializing in React, Node.js, and cloud-native AWS systems
Senior Full-Stack Software Engineer specializing in cloud-native microservices and FinTech
Mid-level Full-Stack Engineer specializing in React and Java microservices
Mid-level Full-Stack Engineer specializing in cloud-native microservices and data integrations
Junior Full-Stack Software Engineer specializing in SaaS and AI-powered web apps
Mid-level Software Engineer specializing in backend microservices and cloud-native systems
Executive Engineering Leader specializing in Telehealth Platforms and Healthcare IT
Junior Full-Stack Software Engineer specializing in cloud microservices and ML-driven products
“Backend engineer with hands-on ownership of Python/Flask microservices and recommendation systems across edtech and telecom. Deployed and operated real-time personalization/recommendation platforms on AWS EKS with Jenkins-based CI/CD, GitOps-style declarative configs, and strong observability practices. Has migration experience moving legacy mixed environments to modern containerized Kubernetes and built Kafka pipelines feeding ML services while managing schema evolution.”
Senior Software Engineer specializing in AI/ML backend and cloud infrastructure
“Backend/data platform engineer with production experience at Walmart and Molina Healthcare, building Python microservices on AWS (EKS + Lambda) for real-time inventory and recommendation systems. Strong in reliability/observability and incident leadership, plus modernizing legacy healthcare workflows and building resilient AWS Glue/PySpark pipelines with schema evolution and data quality controls.”
Mid-level Backend Software Engineer specializing in AI workflow automation for finance and healthcare
“Backend/AI engineer with healthcare domain experience who built a patient journey analytics API (FastAPI/PostgreSQL/Snowflake/Redis) and debugged peak-hour latency down from ~900ms to ~50ms via indexing and query optimization. Shipped an LLM-powered clinical summary/recommendation assistant end-to-end and designed a multi-step risk evaluation agent workflow with safety guardrails against hallucinations and unsafe outputs.”
Mid-Level Full-Stack Software Engineer specializing in cloud-native data platforms
“LLM/agentic systems practitioner who specializes in moving customer prototypes into production within microservices environments, emphasizing reliability, latency, security, and measurable success metrics. Experienced in real-time troubleshooting using logs/traces and in enabling adoption through hands-on developer workshops (including live coding in Java Spring Boot) and pre-sales POCs that address technical objections and integration risk.”