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Vetted Jira Professionals
Pre-screened and vetted.
Senior Systems Integration Engineer specializing in industrial automation and power systems
Senior Product Manager specializing in AI, EdTech, FinTech, and LegalTech
Junior Full-Stack Engineer specializing in mobile apps and backend systems
Mid-level Full-Stack Engineer specializing in AI products and FinTech
Senior Full-Stack Software Engineer specializing in Python/Django and React/TypeScript
Senior Software QA Engineer specializing in test automation and CI/CD
Senior DevSecOps Engineer specializing in AWS GovCloud, Kubernetes, and compliance automation
Senior Full-Stack Python Engineer specializing in secure cloud platforms and ML systems
Senior .NET Full-Stack Developer specializing in ASP.NET Core, Angular, and Azure
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 Full-Stack Engineer specializing in Python, cloud-native microservices, and React
Director-level Paid Media & Growth Marketing leader specializing in performance acquisition
Mid-level QA Automation Engineer specializing in web, API, and mobile test automation
Senior Full-Stack Engineer specializing in SaaS, LegalTech, and Web3
Jack Oakley
Director-level VR Game Programmer specializing in Unity and QA leadership
“Unity/VR gameplay engineer who has shipped full games and built a robust coin economy + massive gear customization system (over a million combinations) backed by a cloud service. Notably discovered and fixed a severe backend security flaw by adding proper authentication (security key + OAuth2), and has hands-on VR performance optimization experience (OVR Metrics, LOD/mipmaps, imposters) plus multiplayer sports sync design using Photon PUN2.”
Irfan Aulia
Mid-level Product Manager specializing in developer tools and QA-driven delivery
“Works at Accelbyte validating Unreal/Unity tooling compatibility with PlayStation/Xbox devkits, focusing on end-to-end crash/error reporting and build distribution workflows. Strong in isolating SDK vs engine vs backend issues and coordinating with the right teams using backend error signals; also initiated team knowledge-sharing to enable cross-coverage when teammates are out.”
Maneesh Ujji
Junior Machine Learning & Data Science professional specializing in AI agents and applied ML
“IT Analyst/research background with hands-on experience deploying and hardening a multi-agent AI support/triage system (ticket ingestion + knowledge-base retrieval) with strong emphasis on reliability and observability. Has debugged real production issues spanning backend services and network latency (sync failures/partial writes) and is comfortable in Linux environments; also has academic exposure to robotics simulation and ROS2.”
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.”
Pranava Reddy Kothapally
Junior Data Engineer specializing in Azure, CRM data pipelines, and marketing personalization
“LLM/AI engineer who has deployed production RAG conversational analytics and Text-to-SQL systems over Snowflake and curated data marts, emphasizing enterprise-grade guardrails for accuracy, security, and cost. Notable for a structured approach to reducing hallucinations (curated metric/table registry, SQL validation, RBAC, and citation-backed responses) and for building resilient, observable multi-step agent workflows using LangChain/LlamaIndex and Airflow.”
Syed Mujtaba
Senior Frontend Developer and MERN Stack specialist
“Frontend engineer experienced leading client-facing portals (including WebGL integrations) and admin panels, with a strong focus on scalable architecture (monorepo, shared design system/atomic design) and performance. Has built complex React+TypeScript workflows like multi-step user creation with dynamic forms, and ships major features (e.g., video recording) using feature-flagged, trunk-based delivery and E2E testing.”
Vikesh Patel
Senior AI/ML Engineer & Data Scientist specializing in LLMs, RAG, and MLOps
“ML/NLP practitioner who has delivered production systems in regulated domains, including a healthcare compliance pipeline using RAG (GPT-4/Claude) plus TF-IDF retrieval that increased document review throughput 4.5x. Also has hands-on experience improving fraud detection data quality via entity resolution (Levenshtein, Dedupe.py) validated with A/B testing, and building scalable, monitored workflows with Airflow, CI/CD, and AWS SageMaker.”