Vetted Jira Professionals

“Full-stack engineer with strong ownership in fast-moving environments: designed and shipped a pre-order/campaign inventory system (NestJS + Strapi + Datadog) that freed 34% warehouse space and reduced stock risk to ~5.7%. Also built rapid, high-impact logistics features (Spot Sales) that drove last-mile cost to ~0 in ~40 days, and has hands-on AWS/Terraform/CI-CD experience including deploying a global RAG system with Pinecone, Datadog, and PagerDuty.”

“QA automation engineer with deep experience owning end-to-end Cypress/JavaScript test suites (smoke, regression, and API contract tests) integrated into GitHub CI with merge gating and rich reporting. Demonstrated healthcare enrollment domain expertise by catching a critical eligibility versioning/overwrite defect via API + DB assertions that UI tests missed, then hardening the pipeline with contract tests and idempotency checks.”

“Game QA professional with ~5 years experience spanning ed-tech games (Osmo) and a Lead QA role at Gala Games, working on large-scale multiplayer/live-update projects with AAA-like production rigor. Strong in proactive QA involvement from feature kickoff through release, owning multiplayer sync/persistence and exploit risks, and known for detailed Jira reporting with video/log evidence plus rigorous verification and regression practices.”

“Full-stack engineer in healthcare and enterprise analytics who has shipped event-driven, near-real-time systems (Spring Boot microservices + Kafka + AWS) and large-scale patient/provider portals (50k+ users). Strong in production reliability and performance—measurably reduced claims latency (27%), cut support tickets (25%), and handled real AWS scaling incidents end-to-end. Also built a Python REST control plane for SDN routing integrated with external reinforcement learning agents.”

“Game economy/product designer with hands-on experience tuning F2P word/puzzle games (Crossword Jam, Word Trip). Introduced internal currencies and wallet-based reward personalization to control coin inflation and protect IAP/rewarded ads performance, backed by Google Sheets modeling, cohort analysis, and competitor benchmarking (Royal Match, Wordscapes). Based in Santa Clara, CA and prefers remote work with occasional travel.”

“QA automation engineer from Bajaj Finance who owned end-to-end automated test suites for large-scale web/mobile products (70M+ users), building Python and API automation integrated with Jenkins/Azure DevOps. Drove measurable quality outcomes (40% less regression effort, 35% fewer production defects, 98% successful UAT across 25+ releases) and has strong fintech lending domain experience (loan disbursement/repayment/eligibility).”

“Built and monetized an object-identification app end-to-end (FastAPI backend, HTML/JS frontend, SQLite→Postgres, auth, and an iOS wrapper via Capacitor/Xcode with Apple privacy/policy compliance). Also productionized an AI-native geospatial metadata/QA assistant using LLM+RAG plus deterministic Python validation, measuring impact via time-to-first-pass review and rework rate, and has experience modernizing legacy GIS workflows and delivering across USDA/FEMA-style teams with disciplined Jira-based execution.”

“Backend engineer with experience at DigitalOcean and BNY Mellon, specializing in secure, highly available authentication and API platforms. Built an enterprise SSO system integrating Okta via OIDC with resilience patterns (gRPC contracts, circuit breakers, Kafka) and strong encryption, and led a careful monolith-to-Golang microservices migration using shadow traffic, dual writes, and feature flags to preserve data integrity.”

“Product designer at Felixphere working on a pivot from a SaaS marketplace to a SaaS management platform, designing end-to-end SaaS integrations and an AI concierge/agent experience. Drove a strategic shift from complex custom connectors to standardized connectors through user research and prototyping, aligning executives and reducing development effort; also shipped user-informed features like a contract/payment calendar to reduce operational friction for customers.”

“Unity/Meta Quest VR developer who helped ship a pharmaceutical lab-training simulator, owning key interaction systems (liquid transfer, pipette behavior) and building custom editor tooling to accelerate objective testing. Also built a solo early-lifeform simulation featuring procedural soft-body mesh generation and physics-driven animation, demonstrating strong systems/physics programming depth.”

“Frontend engineer who co-built an AI-enabled marketing automation platform with multi-workspace tenancy, implementing database-scoped queries and RLS for isolation plus real-time UX (chat, voice transcription via Deepgram, autosave, Supabase Realtime). Emphasizes quality and speed through CI practices (linting/unit tests, planned Playwright) and has shipped fast iterations like Stripe prepaid card detection from overnight build through staged QA to production.”

“Frontend React/TypeScript engineer who built a text-to-speech feature from scratch end-to-end, including frontend-backend communication and testing. Experienced improving existing React codebases through refactoring into reusable components, custom hooks, and performance optimizations, and collaborates closely with product/design using Figma, design systems, and early previews via staging/Storybook.”

“Frontend engineer focused on scalable React/Redux + TypeScript applications, with hands-on experience designing reusable component architectures, improving performance (reducing re-renders, streaming API calls), and hardening maintainability through standardized styling and unit tests. Has shipped deadline-driven dashboard features (e.g., filters) using Agile practices and Jira to manage QA and client feedback.”

“Hands-on engineer focused on productionizing LLM-powered assistants: builds RAG pipelines with guardrails, response schemas, and citation-grounded outputs, then hardens them with explicit NFRs (latency, uptime, security, cost). Experienced diagnosing agentic/LLM workflow issues in real time using observability and stepwise isolation, and supports go-to-market via developer demos, workshops, and pre-sales technical evaluations in microservices/Spring Boot environments.”

“Backend-leaning full-stack engineer who has built and operated event-driven microservices platforms (FastAPI/React/TypeScript, Kafka, Kubernetes) and internal DevOps tooling. Delivered measurable impact through user-feedback-driven iteration (WebSockets update mechanism cutting redundant API calls ~30%) and operational improvements (deployment monitoring dashboard reducing rollback time ~40%), with strong focus on reliability, observability, and data consistency at scale.”

“Backend/DevX engineer with startup experience who built internal JavaScript SDKs for POS integrations, including a daily GMV calculation feature standardized across multiple POS providers. Strong in performance debugging (used Jaeger to resolve legacy WebSocket bottlenecks) and developer enablement—built a cronjob migration tool (ArgoWorkflow to internal platform) with documentation that let teams migrate in ~30 seconds, plus handled on-call and internal support.”

“JavaScript engineer with open-source experience on a database visualization library, focused on real-time rendering performance for large datasets (virtualized DOM rendering, requestAnimationFrame/debouncing, memoization) and on raising project quality via tests and CI performance benchmarks. Also built Kafka-based messaging documentation and sample producer/consumer apps to speed onboarding, and has experience diagnosing production issues including concurrency-related duplicate data problems.”

“AI/ML engineer (Merkle) with hands-on experience deploying RAG-based LLM applications and real-time recommendation engines into production. Strong in cloud/on-prem architectures, GPU autoscaling, caching, and network optimization—delivered measurable latency reductions (40–70%) and improved retrieval relevance by systematically benchmarking chunking/embedding configurations and validating pipelines via CI/CD.”

“UX/Product designer with end-to-end experience on AI-driven products, including EduWave AI (learning platform for kids, parents, and teachers) and FlairX/Flarex AI (interview automation and AI scoring/benchmark reporting). Known for translating complex backend logic into clear, story-driven dashboards and validating designs through rapid prototyping and direct user observation; targeting founding design engineer roles in San Francisco.”

“QA tester/engineer with Android multiplayer racing game testing experience focused on synchronization accuracy, UI responsiveness, and real-time ranking integrity. Has executed platform compliance testing using TRC checklists and collaborates with developers on TRC documentation, while leveraging AI to speed up QA documentation and regression triage (20+ issues consolidated).”

“Data/ML practitioner with experience at Humana and Hexaware, focused on turning messy, semi-structured datasets into production-ready pipelines. Built an age-prediction model from book ratings using heavy feature engineering and multiple regression models, and has hands-on entity resolution (deterministic + fuzzy matching) plus embeddings/vector DB approaches for linking and search relevance.”

“Mobile game QA tester (1 year on iOS/Android) eager to transition into console testing, with a strong grasp of console certification concepts (Sony TRC, Microsoft XR, Nintendo Lot Check) and a showstopper-first triage mindset. Experienced with TestRail/Zephyr, regression cycles, and leveraging AI for log analysis and report tagging to speed up QA workflows.”

“Software engineer with healthcare domain experience (patient monitoring and provider systems) who improves reliability and performance in complex React/Flask applications. Led API standardization for shared internal React utilities using an RFC + deprecation strategy, and optimized a live WebSocket dashboard to handle 3000+ concurrent clinics while reducing client CPU usage. Strong in production debugging, data ingestion validation, and operational improvements like structured logging and alerting.”