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Bravine Obuya

@bravineobuya

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Senior Full Stack Engineer specializing in cloud-native systems and AI integrations.

Netherlands

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What I'm looking for

I seek senior engineering roles focused on cloud-native architecture, scalable APIs, AI integrations, strong DevOps practices, and mentorship opportunities in collaborative, impact-driven teams.

I am a Senior Full Stack Engineer with 10+ years designing, building, and scaling cloud-native applications across healthcare, mobility, and enterprise domains. I specialize in backend and API development with Python (Django, FastAPI, Flask), Go and Node.js, and build frontends with React, TypeScript, Angular and Vue while delivering resilient microservices on AWS and Kubernetes.

I have a proven record of improving onboarding and performance metrics, reducing manual work through AI integrations, and migrating legacy systems to modern stacks. I lead architecture, CI/CD, and DevOps initiatives, mentor engineers, and have practical exposure to blockchain, mobile integrations, and data/ML pipelines that drive measurable business outcomes.

Experience

Work history, roles, and key accomplishments

Current

Senior Full Stack Engineer

Current

Dotsquares

Aug 2021 - Present (4 years 2 months)

Led architecture and development of a multi-tenant SaaS invoicing and workflow platform, improving customer onboarding time by 35% and reducing UI defect rates by 22% through frontend modernization and CI/CD automation.

Python fastAPI React PostgreSQL Kafka Docker Kubernetes Terraform OpenAI API

Full Stack Engineer

CarePay

May 2017 - Jul 2021 (4 years 2 months)

Built and scaled digital healthcare wallet APIs handling 5M+ monthly transactions, reduced fraud incidents by 30% with real-time claims processing and AI anomaly detection, and shortened release cycles from two weeks to three days.

Python Django REST Framework Go React PostgreSQL Redis AWS Airflow Elasticsearch

Backend Developer

Etergo

Sep 2014 - Apr 2017 (2 years 7 months)

Developed backend services and IoT data pipelines for smart scooters, enabled predictive maintenance reducing breakdowns by 20%, and implemented Go microservices for routing and fleet monitoring on GCP Kubernetes.