CV
Vancouver, Canada | josuebrunel@gmail.com | LinkedIn | GitHub
Summary
Software and Product Engineer with a decade of experience building distributed systems and shipping products end-to-end, from architecture to customers. Deep technical expertise in Go, Kubernetes, and cloud-native infrastructure, paired with product ownership across fractional CTO and founder roles: setting technical strategy, scoping roadmaps, and working directly with customers to turn business problems into shipped software.
Core strengths:
- Distributed Systems & High Availability: Microservices architecture, Kafka event streaming, Redis caching, Cassandra, multi-region cloud deployments
- AI & Automation: LLM integration, agentic workflows, RAG pipelines
- Product & Leadership: Technical strategy, roadmap ownership, customer-facing delivery, cross-functional collaboration
Experience
Fractional CTO
UtuHealth — Vancouver, Canada (Remote) | July 2026 – Present
- Serve as hands-on fractional CTO, driving technical strategy and personally building on Kleia, UtuHealth’s agentic orchestration platform that automates call handling, appointment booking, reminders, and follow-ups to reduce administrative burden on medical office assistants and providers.
- Built Taji, an agentic Quality Improvement (QI) platform on Kleia for OSCAR EMR clinics, combining LLM-driven indicator analysis via a RAG pipeline with a privacy-by-design architecture, a de-identified semantic layer, human approval gating, and structural read-only AI access, to ground condition registry logic in retrievable evidence and produce monthly QI charts with source-cited provenance for every flagged case.
- Lowered infrastructure costs by 60% by right-sizing capacity with autoscaling and shifting background workloads to spot instances.
Technologies: Go, LLM Integration, RAG, Postgres, Message Queue, Kubernetes, Azure
Golang AI Specialist & Competitive Problem Architect
Mercor — Vancouver, Canada (Remote) | September 2025 – Present
- Evaluated high-complexity Go code generated by LLMs, with focus on concurrency patterns, memory efficiency, and production-grade reliability under load.
- Designed and validated AI agent workflows for multi-step web browsing tasks, improving robustness and accuracy in real-world, high-variability scenarios.
- Engineered a feedback loop system that improved AI code generation reliability, reducing error rates in automated developer tooling.
- Authored algorithmic challenges (LeetCode/Codeforces-style) with comprehensive test suites and optimal reference solutions to stress-test AI code quality.
Founder & Engineer
TrialAbuse — Vancouver, Canada (Remote) | 2025 – Present 🔗 trialabuse.com
- Built a real-time fraud detection SaaS platform for free trial and bonus abuse, combining a 150+ signal detection engine (device fingerprinting, network intelligence, behavioral analysis, cross-operator consortium data) to deliver a single fraud verdict in 67ms median with 94% accuracy.
- Shipped self-serve pricing tiers with Stripe billing on GCP/Kubernetes, driving $8:1 ROI and ~$100K/month in recovered fraud losses for customers.
Technologies: Go, GCP, Kubernetes, Docker, Redis, PostgreSQL, Stripe, Device Fingerprinting, Behavioral Analytics
Founder
PropCopyAI — Calgary, Canada (Remote) | April 2025 – Present
- Built a cloud-native Micro-SaaS on GCP/Kubernetes in Go + HTMX, integrating a multimodal LLM (Gemini) for real-time image-to-text property analysis, with S3-backed image storage and Stripe subscription billing.
Technologies: Go, HTMX, Gemini (Multimodal LLM), AWS S3, Docker, Kubernetes, Stripe, GCP
Senior Software Engineer
Rogers Sports & Media — Vancouver, Canada (Remote) | March 2023 – November 2024
- Designed and delivered a high-availability user data microservice in Go backed by Cassandra and Redis, improving data consistency and system uptime for millions of users.
- Built scalable sports data aggregation microservices using Go, Kafka, and PostgreSQL, capable of ingesting and processing real-time event streams at high throughput.
- Architected distributed microservices with redundancy and failover patterns, measurably increasing system uptime and performance under peak load.
- Led cross-functional collaborations translating business requirements into technical specifications; mentored junior engineers on distributed systems best practices.
Technologies: Go, Cassandra, Redis, Kafka, PostgreSQL, Docker, Kubernetes, Azure, AWS, REST & GraphQL APIs
Software Engineer
Sia Partners — Paris, France (Remote) | April 2022 – August 2022
- Built a robust REST API for an HR mentoring platform, improving mentor-mentee matching at scale.
- Implemented Redis caching to reduce database load and optimize search response times.
- Designed ETL pipelines for seamless, reliable data integration across systems.
- Engineered secure file storage for CVs and profile pictures using Google Cloud Storage.
Technologies: Python, FastAPI, Redis, Google Cloud Storage, Pandas, PostgreSQL
Software Engineer
Scaleway — Paris, France (Hybrid) | April 2019 – October 2021
- Scaled device polling infrastructure to handle 30,000+ devices using Celery and Redis, reducing error rates to under 1%, a critical reliability milestone for data center operations.
- Streamlined billing processes using distributed event-driven architecture, cutting processing time from 3 days to 1 day, a 66% reduction.
- Developed a Modbus RTU to TCP converter and a PUE calculator API in Go, improving data center energy efficiency monitoring.
Technologies: Python, Go, Django (DRF), Celery, Redis, RabbitMQ, Pandas, PostgreSQL
Software Engineer
Entr’ouvert — Paris, France | October 2015 – November 2018
- Developed a reverse proxy authentication solution using Nginx for Single Sign-On (SSO) via SAML, handling authentication at scale across multiple services.
- Built a REST key-value storage microservice with ACL support and Role-Based Access Control (RBAC), improving data security and multi-tenant isolation.
- Integrated OIDC/OAuth2 for modern, standards-based authentication flows.
Technologies: Python, Django, Nginx, SAML, OIDC/OAuth2, RabbitMQ, Microservices
Software Engineer / DevOps Engineer
LOGAXONE (Euronext / Paris Mutuel Urbain) — Paris, France | August 2014 – September 2015
- Built a Ruby tool for AIX partition management, reducing partition creation time by over an hour.
- Developed Puppet modules to standardize and accelerate testing and development environment configuration.
- Established CI/CD pipelines with GitLab, Jenkins, and Nexus, improving deployment reliability and automation.
- Designed a testing solution for trading platforms, including the Order Message Executor.
Technologies: Ruby, Puppet, GitLab, Jenkins, Nexus, AIX, CI/CD, Bash/Shell
Skills
Languages: Go, Python, JavaScript, Ruby, Solidity Databases: PostgreSQL, Cassandra, Redis AI/ML: LangChain-Go, RAG, Agentic Systems, Ollama, n8n, LLM integration Infrastructure: Kubernetes, Docker, GCP, AWS, Azure, Ansible, CI/CD, Observability Messaging: Kafka, RabbitMQ, Pub/Sub, libp2p APIs & Protocols: REST, GraphQL, gRPC, SAML, OIDC/OAuth2, HTMX
Education
Bachelor’s Degree in Information Technology SUPINFO — Paris, France | 2011 – 2014
