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marimohrdev

Mariana Mohr

@marimohrdev

Backend Engineer

Brasile
Portoghese, Inglese
Alcune informazioni sono riportate in lingua inglese.
Chi sono
I am a product-focused Engineer with over 5 years of experience building high-scale distributed systems handling 6M+ daily events. My core expertise lies in Golang, Kafka, and Event-Driven Architecture. I integrate AI tools like Cursor and Devin into my workflow to accelerate technical discovery and prototyping, allowing me to focus on high-level architecture, code quality, and driving product impact.... Continua a leggere

Competenze

m
marimohrdev
Mariana Mohr
offline • 
Tempo di risposta medio: 1 ora

Consulta i miei servizi

Applicazioni web full stack
I will build your go or typescript backend with ai integration
A partire da75 USD / progettoMaggiori dettagli

Portfolio

Esperienza lavorativa

Arco_Educação

Software Engineer

Arco Educação • Full time

Aug 2025 - Present • 1 yr 1 mo

Developing high-scale Golang microservices and Kafka-based asynchronous flows for a platform serving 2,500+ schools. AI-Assisted Efficiency: Leveraging AI tools to conduct technical feasibility analysis for new features and reducing debugging time in complex legacy environments. End-to-End Ownership: Leading features from technical conception (Go Backend / React Frontend) to production monitoring with Datadog and Grafana.

Sbf_Comercio de Produtos Esportivos

Mid Backend Engineer

Sbf Comercio de Produtos Esportivos • Full time

Aug 2023 - Aug 2025 • 2 yrs

At one of Brazil’s largest sports retail companies, I lead backend initiatives within the Growth team to enhance user experience and boost organic traffic. I design and implement scalable microservices using Kafka, feature flags, and observability tools, contributing directly to conversion growth and search performance improvements. Highlights include: - End-to-end development of a new asynchronous filter consumer using Kafka and feature flags, replacing a legacy system — resulting in a 49% increase in sessions followed by a purchase. - Built seasonal page management systems, contributing to a 35% increase in residual traffic and a conversion rate jump from 2.59% to 4.36%. - Created quickfilters that led to a 2.11% increase in site-wide conversion. - Improved product data delivery for search pages, leading to a 10.14% session boost and a 0.25% increase in organic revenue share. Tech stack & practices: Languages: TypeScript & Golang Architecture: Event-driven (Kafka), microservices Databases: MongoDB, Redis, PostgreSQL Observability: Datadog, Grafana, Pulumi CI/CD: GitHub Actions, Kubernetes, ArgoCD Scalability: gRPC, HPA with KEDA Reliability: Feature flags for real-time rollback and deployment control Dev culture: Strong emphasis on testing, traceability, and secure delivery