Pre-screened and vetted.
Junior QA Analyst specializing in telecom testing and data-driven insights
Mid-level Full-Stack Software Engineer specializing in cloud backends and applied AI
Senior Full-Stack Engineer specializing in Python and AWS-native application development
Senior Full-Stack Software Developer specializing in enterprise web and mobile apps
Senior Software Engineer / DevOps specializing in cloud-native distributed systems
Senior .NET Full-Stack Developer specializing in cloud-native microservices
Director-level Mobile & Full-Stack Software Engineer specializing in Android and cloud-native apps
Senior Data Engineer specializing in AWS-based data pipelines and multi-tenant SaaS
Mid-Level Full-Stack Java Developer specializing in Spring Boot, React, and AWS
Junior Software Engineer specializing in backend systems, QA automation, and AI/ML
Executive Engineering Leader specializing in Product, Mobile, and SaaS platforms
Senior Full-Stack Java Developer specializing in AWS cloud and microservices
Mid-level Full-Stack Software Engineer specializing in React/Node and cloud-native web apps
“Full-stack engineer who built and iterated a CRM dashboard at ReplyQuick by sitting with end users, prioritizing blockers, and shipping frequent updates—improving usability and performance enough to replace a spreadsheet workflow within ~2 months. Demonstrates strong security fundamentals (OAuth2/JWT + RBAC) and practical microservices experience (decoupling a CRM API from a PDF-processing service via async processing and status tracking).”
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).”
Junior Full-Stack Software Developer specializing in GenAI RAG systems
“Product/UX designer who built a cloud-based data management and visualization system for healthcare and manufacturing, translating script-driven and highly technical workflows into guided, step-based experiences. Strong in progressive disclosure, role-based defaults, and trust-building UI patterns, with hands-on prototyping in Figma and close design-engineering collaboration (HTML/CSS, component systems, working TypeScript familiarity) to ship scalable, accessible designs.”
Senior Python Developer specializing in AWS, microservices, and data pipelines
“Backend/data engineer with strong AWS production experience spanning serverless APIs and containerized workers (Lambda, API Gateway, ECS) plus data pipelines (Glue, S3, Athena/Redshift). Has modernized legacy SAS/cron batch systems into Python/AWS with parallel-run parity validation and low-risk cutovers, and has owned ETL incidents end-to-end (CloudWatch detection, backfills, and preventative controls). Targeting $130k–$150k base and strongly prefers remote, with occasional Bethesda onsite acceptable.”
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and FinTech
“Software engineer/product-minded builder who owns customer-facing products end-to-end and ships in 1–2 week increments using CI/CD, automated testing, and feature flags. Built a TypeScript/React/Node platform that cut page load times by 40% and scaled to 3x concurrent users, and designed RabbitMQ-based microservices with Prometheus/Grafana monitoring. Also delivered an internal real-time support analytics dashboard that reduced response times by 30%.”
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.”