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Vetted Confluence Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in AI-driven backend and automation
Senior Cloud Infrastructure Engineer specializing in Microsoft Azure
Senior DevOps & AWS Cloud Engineer specializing in scalable, secure cloud infrastructure
Mid-level Business Analyst specializing in financial systems and reconciliation
Senior Unity Developer specializing in cross-platform games and VR/AR
Senior Systems Integration Engineer specializing in industrial automation and power systems
Senior Software QA Engineer specializing in test automation and CI/CD
Senior Full-Stack Python Engineer specializing in secure cloud platforms and ML systems
Staff/Lead Full-Stack Software Engineer specializing in .NET, Angular, and cloud architecture
Senior QA Automation & Performance Engineer specializing in web, API, and cloud testing
Senior Customer Success & Strategic Account Management leader specializing in AI-driven FinTech SaaS
Senior Full-Stack Engineer specializing in Python, cloud-native microservices, and React
Director-level Paid Media & Growth Marketing leader specializing in performance acquisition
Iangolana Riantsoa RAMELSON
Mid-level Full-Stack JavaScript Developer specializing in React, Next.js, and TypeScript
“Frontend engineer who led end-to-end delivery and scaling of an internal HR product (Easy Time), owning architecture decisions (React/TypeScript, Redux Toolkit, Tailwind/shadcn). Experienced building complex dashboard UIs with advanced filters and real-time interactions, collaborating directly with design (Figma) and shipping quickly via incremental delivery and GitLab CI-driven deployments.”
Albert Albert
Senior QA Tester specializing in mobile, web, and API testing
“Game/software QA tester with hands-on experience testing rhythm/music games on Android/iOS plus Steam Deck testing with controller-based gameplay. Also has web and API testing experience, uses Jira for structured tracking, and leverages offline AI tools to generate test cases and explore negative flows while handling sensitive data.”
Ronald Forte
Entry-Level Software Engineer specializing in AI APIs and RAG systems
“Junior/entry-level AI/LLM engineer who built a production-oriented RAG onboarding and knowledge assistant that ingests GitHub repos and internal sources (e.g., Confluence/Jira) using ChromaDB, with reliability features like retrieval fallbacks, retries, caching, and monitoring. Currently implementing a LangGraph-based multi-agent workflow with intent routing and Pydantic/Magentic-validated structured outputs, plus CI/CD offline evals and online metrics (Grafana/Prometheus) to improve predictability and reliability.”
Joe Greaney
Senior C# / Unity Developer specializing in immersive AR/VR and cloud-integrated systems
“Unity/C# developer with hands-on Meta Quest shipping experience from Wren Kitchens, building a VR kitchen scale visualiser and solving tricky URP/HDRP cross-pipeline rendering issues by creating internal shader/asset management utilities. Also has solo Unity game experience including an Android/Google Play release and game jam prototyping, plus side-project work using Python/PyTorch for predictive modeling.”
William Takpa
Mid-level Product Manager specializing in digital products and growth
“Built and marketed a live free-to-play web word game (Techies WordFinder) from scratch using the Lovable AI platform, reaching 100+ users in under a month. Iterated quickly based on player feedback, reporting a 28% UX improvement and +32 seconds average time per user, and demonstrates practical live-ops and F2P analytics/A-B testing knowledge.”
Sasaunk Vanamali
Mid-Level Full-Stack Software Engineer specializing in cloud-native apps and ML services
“Software engineer who deployed and stabilized a real-time analytics platform at Senecio Software, focusing on production reliability, observability, and performance under load. Experienced debugging issues spanning distributed services and networking (e.g., tracing timeouts to packet loss from misconfiguration) and extending Python (FastAPI/Django) APIs for customer-specific analytics features in a configurable, maintainable way.”
Lakshmi Swathi Sreedhar
Mid-level AI Engineer specializing in Generative AI and LLM systems
“Built and deployed a production-grade, multi-agent Text-to-SQL assistant that lets non-technical stakeholders query large enterprise databases in natural language. Uses Pinecone-based schema retrieval + LLM reasoning (Gemini/Claude/GPT) with a dedicated validation agent (schema/syntax checks and safe dry runs) to reduce hallucinations and improve reliability, while optimizing latency and cost via async execution and embedding caching.”