Pre-screened and vetted.
Senior Software Engineer specializing in cloud-native microservices and test automation
Mid-Level Full-Stack Software Engineer specializing in cloud, microservices, and DevOps
Junior Software Engineer specializing in backend systems, AI agents, and EdTech platforms
Mid-level Full-Stack Engineer specializing in FinTech and cloud-native applications
Senior Full-Stack Java Developer specializing in cloud-native enterprise applications
Mid-level Applied AI Engineer specializing in LLMs, Prompt Engineering, and RAG
Mid-Level Full-Stack Software Engineer specializing in SaaS logistics and cloud-native systems
Mid-Level .NET Software Engineer specializing in cloud-native enterprise applications
Mid-level Software Engineer specializing in Java/Spring Boot microservices
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices and FinTech
Mid-level AI/ML Engineer specializing in GenAI, RAG, and multi-agent LLM systems
Junior Full-Stack Software Engineer specializing in React, Node.js, and cloud-native microservices
Senior Technical Talent Acquisition Specialist in Digital Engineering, Cloud, and Data/AI
Mid-level AI/ML Engineer specializing in MLOps, NLP, and Generative AI
“Built and deployed a production LLM-powered text-to-SQL/document intelligence chatbot on AWS that lets non-technical business users query complex enterprise databases in plain English. Demonstrates deep practical expertise in schema-aware prompting, embeddings-based schema retrieval, SQL safety/validation guardrails, and rigorous offline/online evaluation with human-in-the-loop approvals for risky queries.”
Mid-Level Software Engineer specializing in distributed systems and AI agent workflows
“Software engineer with enterprise CPQ/CRM/ERP integration experience (Argano) who owned an end-to-end pricing preview capability deployed on AWS Kubernetes with Jenkins CI/CD and full observability (Prometheus/Grafana). Also built an AI-native research agent using LangChain + Chroma to filter academic papers, reporting ~15 hours/week saved for a professor.”
Mid-level Software Engineer specializing in cloud-native backend and distributed systems
“Backend/full-stack engineer with experience building customer-facing contact-center automation (agent assignment) and internal editorial/data operations APIs for life-sciences ontology management. Strong in microservices and event-driven systems (Spring Boot + Kafka), third-party integrations (Genesys/Five9), and pragmatic iteration via MVP scoping, tight stakeholder demos, and observability-focused reliability.”
Senior Full-Stack Engineer specializing in MERN, AWS, and scalable SaaS platforms
“Frontend lead for B2B SaaS products, owning React + TypeScript architecture end-to-end and scaling complex dashboards/workflows with a feature-based structure, shared design system (Tailwind), and strong quality automation. Experienced shipping high-impact features quickly using incremental delivery, feature-flagged rollouts, and performance profiling/optimization to keep production stable as usage grows.”
Executive Technology Leader specializing in distributed systems and multi-cloud infrastructure
“Early-stage builder who blends deep technical product work with go-to-market execution: created developer-focused platform tooling (Rust/Node/React) and at Harper moved from customer success into sales/partnerships, leading an Akamai partnership that ultimately helped close Walmart. Currently building a distributed application platform in Rust and iterating on macro-based abstractions to make Rust feel as approachable as Node.js; has not yet closed a seed round and is seeking a trusted operator counterpart.”
Principal Full-Stack Engineer specializing in MERN/MEAN and AWS cloud platforms
“Frontend engineer who has led customer-facing React + TypeScript products end-to-end, building complex dashboards with robust async state patterns (caching, deduping, cancellation, optimistic updates) and strong quality practices (TypeScript standards, layered testing, production monitoring). Experienced modernizing inherited codebases through modularization and performance work (code splitting/memoization) while aligning stakeholders and shipping safely via feature flags and staged rollouts.”
Senior DevOps/Site Reliability Engineer specializing in multi-cloud infrastructure
“Candidate is actively using AI-assisted development tools, including MCP server integrations with Copilot, to generate boilerplate test scripts, validate code standards, and handle package updates. They also have hands-on experience choosing different agents based on task requirements and serving as an admin for AI tool access.”