Pre-screened and vetted.
Mid-Level Full-Stack Software Developer specializing in React, TypeScript, and Azure
“Frontend-focused engineer who has delivered an end-to-end React SPA with a .NET 9 backend on Azure, deploying via Azure Container Apps and leveraging zero-downtime deployment slots. Built complex TypeScript UI flows (10-page form with global/partial save and custom validation) using Redux + MUI integrated from Figma, and emphasizes quality with RTL/Vitest plus Selenium automation (~95% coverage) and analytics-driven iteration (Heap, Alida, GTM).”
Senior Full-Stack Developer specializing in web, Windows software, and IoT
“Full-stack web developer who reports owning both backend and frontend design, including database-first design and jQuery-based web UI work (shared a GitHub project link). Claims to have delivered a project planned for 4 months in just 2 weeks and emphasizes strong personal code quality standards.”
Senior Full-Stack PHP Developer specializing in LAMP, APIs, and scalable SaaS platforms
“Full-stack engineer who built an email/SMS marketing platform from the ground up using PHP (Yii2/Laravel) and JS (jQuery/Vue components), including campaign reporting, A/B testing, and extensive ESP/SMS integrations (Mailgun/Mailjet/Twilio plus AWS SES/SNS). Notably scaled the system for very large contact ingestion by migrating from MySQL to ClickHouse and implemented reliability measures like retries, logging, and rate limiting.”
Mid-level Customer Success Engineer specializing in AI analytics and cloud deployments
“Customer Success Engineer focused on secure customer integrations for web/AI analytics solutions, frequently aligning retail/business teams with security requirements. Has hands-on experience troubleshooting and hardening API-based integrations in AWS (IAM least privilege, VPC/private subnet patterns, CloudWatch/CloudTrail) and delivering repeatable containerized deployments via Bitbucket CI/CD.”
Mid-level QA Engineer specializing in API and automation testing
“QA automation engineer focused on backend/API quality who owned an end-to-end API regression suite and integrated Cypress/JS automation into GitLab CI with smoke-vs-nightly regression gating. Caught a critical auth security regression (expired tokens returning 200 instead of 401) before production and is strong in stabilizing flaky tests using network interception and actionable CI reporting.”
Mid-Level Cloud-Native Software Engineer specializing in microservices, DevOps, and AI integration
“Backend-focused Python engineer who owned high-traffic internal services end-to-end (FastAPI/Django) including REST/GraphQL APIs, PostgreSQL optimization, async task processing via SQS, and full CI/CD. Strong Kubernetes-on-EKS and GitOps (ArgoCD + Helm) experience, plus Kafka real-time streaming work and phased cloud-to-on-prem migration support.”
Mid-Level Software Engineer specializing in QA automation and full-stack web development
“Automation and customer-facing technical specialist with experience at QA Wolf and Kalmar, taking Playwright E2E testing from prototype scripts into CI-gated production pipelines (80%+ automated coverage). Also trained both software teams and industrial operations audiences (Fleet View for automated straddle carriers) and partnered with sales/customer teams to translate technical results (e.g., Siemens PLC updates, QA ROI) into adoption and faster closes.”
Junior Full-Stack Software Engineer specializing in web applications
“Full-stack developer who deployed a React/Node/Mongo event management app to production, focusing on secure env/credential handling and stabilizing third-party integrations (email verification, payments). Demonstrated strong cross-layer troubleshooting by isolating intermittent regional failures to load balancer/firewall misconfiguration, and has Python experience building a TF-IDF/cosine-similarity search/ranking system tailored to project requirements.”
Mid-level QA Engineer specializing in digital banking mobile and web testing
“QA professional with experience spanning mobile/web applications plus API and backend behavior testing, using Jira and TestRail along with exploratory/regression and compliance-focused verification. Describes a structured approach to meeting tight deadlines by breaking work into modules, estimating test execution timelines, and using AI tools to accelerate documentation and analysis when test case volume is high. No direct console testing or TRC/XR/LOT certification experience yet, but has a compliance-testing foundation.”
Mid-level Full-Stack Developer specializing in Django/React and FinTech automation
“Product-minded full-stack engineer who owns customer-facing products end-to-end and iterates quickly using MVP validation, feature flags, automated testing, and staged rollouts. Has built TypeScript/React systems with modular backends and designed microservices with async messaging (RabbitMQ), handling scale issues like ordering, retries, and idempotency. Also delivered an internal ops automation tool with a self-serve real-time workflow dashboard that reduced errors and drove rapid adoption.”
Mid-level QA Engineer specializing in manual and API automation testing
“No hands-on console game testing experience, but reports being fairly familiar with console certification frameworks (Sony TRCs, Microsoft XR, Nintendo LOT) and can articulate key compliance areas (network, save data, performance/stability, legal/regional, DLC). Uses AI tools in day-to-day QA work to refine database queries and test cases, and prioritizes production issues first under deadline pressure.”
Entry IT Testing Automation Engineer specializing in banking QA and Google Cloud
“QA professional with a web and backend API testing background pivoting into console game QA; brings strong exploratory/regression testing, test case creation, and detailed bug reporting. Familiar with PlayStation/Nintendo UI patterns and gameplay flows as a long-time player, and is proactively preparing to learn console certification standards (Sony TRC, Microsoft XR, Nintendo LOT).”
Junior QA & Performance Tester specializing in test automation
“Software QA/testing candidate with experience in website testing and server performance monitoring using tools like LoadRunner, SiteScope, Katalon Studio, and Playwright. Has demonstrated ability to quickly learn new enterprise tools and processes in a banking environment (ramped up in about one month) and applies requirements-based and load/performance testing principles.”
Mid-level Full-Stack Engineer specializing in data automation, cloud & AI
“JavaScript engineer who effectively "maintains" an internal open-source-style React/Node.js shared library used by multiple teams—owning API stability, semantic versioning, CI/testing, logging, and documentation. Demonstrates strong cross-team debugging and change-management skills (schema-driven refactors, feature flags, validation layers) to ship new features without breaking existing workflows, plus a profiling/benchmarking-driven approach to performance.”
Mid-level .NET Full-Stack Developer specializing in finance and healthcare web apps
“Full-stack engineer with end-to-end ownership of a data-heavy financial dashboard module at Brown & Brown Insurance, spanning .NET Core APIs, EF/SQL Server, and React/TypeScript UI. Demonstrates strong focus on performance tuning (indexing, pagination, caching, async) and secure service design (Azure Key Vault, JWT/RBAC) in a microservices context.”
Mid-level Full-Stack Developer specializing in Java/Spring Boot and React on AWS
“Full-stack engineer with enterprise experience at Meta System and DXC, owning end-to-end delivery of a shipment visibility portal (React UI in Liferay DXP + Java/Spring Boot REST APIs) with Dockerized deployments and automated test coverage. Has hands-on AWS work across EC2/Lambda/S3 and multiple databases (DynamoDB, RDS, Neptune, DocumentDB), plus built a Python/Flask data migration platform with validation for correctness and repeatability.”
Mid-level Software Development Engineer specializing in backend, cloud, and microservices
“Accenture engineer with hands-on experience taking an NLP sentiment analysis system from prototype to production, emphasizing robustness to noisy data, scalability, and observability (dashboards for latency/error/throughput). Also supports customer-facing teams with demos and PoCs, translating client requirements into secure, scalable architectures and troubleshooting LLM/agent workflows via logs and step-level traces.”
Mid-level AI/ML Engineer specializing in Generative AI and LLM systems
“Senior AI/ML engineer with hands-on experience building production LLM systems in healthcare, including RAG-based clinical question answering and end-to-end MLOps on Vertex AI and Kubernetes. They combine strong platform engineering with applied GenAI work, citing a 35% improvement in factual accuracy and a 30% boost in internal team productivity through modular Python services and CI/CD.”
Senior Machine Learning Engineer specializing in LLMs, computer vision, and cloud AI
“Healthcare-focused ML/AI engineer who has built clinical note summarization and medical image annotation solutions using LLMs, RAG, and multimodal models. They combine experimentation across major model providers with practical production concerns like monitoring, drift detection, and latency/cost tradeoffs, and also earned 2nd place in a Google hackathon for a medical AI assistant.”
Mid Software Engineer specializing in full-stack microservices and cloud platforms
“Backend-focused engineer with experience building high-volume policy management and enterprise pricing systems, including Django/FastAPI/Flask services, Kafka-based async workflows, and Prometheus/Grafana observability. While they have not yet shipped a customer-facing AI agent or production LLM integration, they bring strong cloud, API, reliability, and scalable system design fundamentals that translate well to responsible AI infrastructure work.”
Mid-level Full-Stack Software Engineer specializing in FinTech and AI
“Built and launched a production AI knowledge assistant at Virtusa used by 8,000 people, combining RAG, tool use, and strong reliability practices to cut lookup time by 60%. Also owns full-stack delivery, including a real-time transaction monitoring dashboard built with React, Spring Boot, and Kafka handling 200K API requests per day.”
Mid-level Full-Stack Engineer specializing in .NET, React, and FinTech platforms
“Software engineer currently building for a wealth management platform, with hands-on ownership across React/TypeScript front ends, Azure serverless backends, and SQL data systems. Stands out for turning hackweek concepts into production features, building observability infrastructure from scratch, and delivering measurable gains in latency, uptime, incident response, and client satisfaction.”
Junior Full-Stack Engineer specializing in web, mobile, and data systems
“Solo full-stack builder who shipped a restaurant loyalty app across iOS and Android and independently built revenue-generating job data APIs on Apify. Combines product discovery with hands-on engineering, having grown his scraping/API products to 1,800+ MAUs, 1M+ monthly results, and over $8.5K in cumulative revenue.”