Bruna Godoi Machado
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Bruna Godoi Machado

Senior Software Engineer | Backend & Cloud Architecture | Go • Python • Applied AI/ML

São Paulo, SP, Brazil — Available for Remote, Hybrid, and Relocation opportunities

bgodoimachado@gmail.com
+55 (11) 95657-2790 (WhatsApp ↗)LinkedIn ↗GitHub ↗Resume PDF ↓

Profile

Senior Software Engineer with 6+ years of experience architecting high-throughput, low-latency microservices, scalable cloud infrastructure (AWS/GCP), and production-grade AI/ML pipelines.

Combines hands-on technical leadership with a strong FinOps discipline to optimize cloud costs and resolve complex performance bottlenecks—ranging from legacy analytical database migrations to training proprietary deep learning engines that eliminated recurring third-party vendor expenses. Highly proficient in Go (Golang), Python, distributed systems, and Platform Engineering.

Selected Impact

Wildlife Studios · 2025 – 2026
$24,000+/yr
Annualized Cloud Savings & 99.99% SLA

Engineered an automated AI auditing system across Databricks and Datadog telemetry alongside high-concurrency Go microservices serving global Unity game titles at 99.99% uptime.

Globo · 2023 – 2025
30s → <500ms
98.3% Latency Reduction + 95%+ AI Brand Safety

Refactored synchronous ad validation flows into an asynchronous event-driven pipeline processing millions of daily payloads, and integrated Google Gemini multimodal models to automate 95%+ of live broadcast brand safety.

Idwall · 2022 – 2023
~95% Cost Cut
90%+ CNN/LSTM Accuracy & <10ms Entity Lookups

Trained and deployed an in-house CNN + LSTM neural engine (Keras/TensorFlow) reaching 90%+ accuracy to eliminate ~95% of third-party API expenses, and migrated critical data from Databricks to PostgreSQL for <10ms real-time lookups.

Mutant & Globant · 2020 – 2022
Hours → <15m
Deployment Cycle Acceleration & >85% Test Coverage

Built containerized NLP models for Text-to-Speech (TTS) across AWS and Azure, engineered high-volume Python/TypeScript APIs, and standardized CI/CD workflows with >85% unit test coverage.

Experience

Filter dossier:

Wildlife Studios—L4 Backend Engineer

September 2025 – June 2026
São Paulo, Brazil (Remote / Hybrid)
  • High-Concurrency Go Microservices: Architected and maintained low-latency backend microservices in Go (Golang), integrating internal developer portals (React) and Unity SDKs for seamless client-to-cloud communication across global game titles.
  • AI-Driven FinOps & Cost Optimization: Engineered an automated AI auditing system across Databricks and Datadog environments, uncovering compute redundancies and securing $24,000+/year in annualized recurring savings.
  • Developer Experience (DX) & Reliability: Streamlined multi-studio developer workflows and reduced configuration friction in deployment pipelines, accelerating release velocity while maintaining a 99.99% service uptime SLA.
Go (Golang) · React · Unity SDK · Databricks · Datadog · AI FinOps · Distributed Systems

Globo—Senior Software Engineer

November 2023 – August 2025
São Paulo, Brazil
  • AdTech Architecture & High Throughput: Architected and scaled high-traffic media ingestion and validation pipelines within Globo's AdTech ecosystem, processing millions of daily payloads under peak traffic.
  • Asynchronous Architecture: Refactored synchronous ad validation flows into an event-driven asynchronous architecture, reducing validation latency from 30 seconds to under 500ms.
  • Multimodal AI & Brand Safety: Integrated Google Gemini multimodal models into video and image ingestion pipelines, automating 95%+ of brand safety compliance moderation across streaming broadcasts.
  • Real-Time Distribution: Engineered high-availability distributed integrations linking live streaming infrastructure with the Google Ads API for real-time programmatic ad delivery.
Python · Google Gemini AI · Asynchronous Processing · Google Ads API · Distributed Systems

Idwall—Software Engineer II

April 2022 – October 2023
São Paulo, Brazil
  • Proprietary Deep Learning Engine: Engineered and deployed an in-house CAPTCHA-solving neural engine utilizing CNN and LSTM architectures (Keras/TensorFlow), reaching 90%+ accuracy and eliminating ~95% of third-party API expenses.
  • Zero-Downtime Database Migration: Led the end-to-end migration of critical user entity data from Databricks to PostgreSQL, resolving analytical query bottlenecks and enabling real-time lookups in <10ms.
  • Anti-Fraud Backend Scalability: Optimized mission-critical Python microservices for digital identity verification and fraud prevention, ensuring high resilience during seasonal traffic spikes.
Python · TensorFlow · Keras · CNN · LSTM · PostgreSQL · Databricks · Information Security

Globant—Python Developer

October 2021 – April 2022
São Paulo, Brazil
  • Enterprise Backend Engineering: Built scalable microservices and RESTful APIs in Python for global tier-one clients following strict agile and clean-code engineering standards.
  • Quality Assurance & CI/CD: Standardized continuous integration workflows and automated test suites, maintaining unit test coverage above 85%.
Python · REST APIs · Microservices · Cloud · CI/CD · Unit Testing

Mutant—Software Developer (Promoted from Junior)

March 2020 – October 2021
São Paulo, Brazil
  • Scalable Web Services & APIs: Developed backend services and REST APIs in Python (Flask, Django, Falcon) and Node.js (TypeScript) connected to SQL and MongoDB for high-volume customer interaction platforms.
  • NLP Models & Cloud Orchestration: Built Natural Language Processing (NLP) models for Text-to-Speech (TTS) engines, containerized with Docker and deployed across AWS and Azure cloud environments.
  • Pipeline Automation: Automated deployment workflows via Bitbucket Pipelines, slashing deployment cycles from hours down to under 15 minutes.
Python · Flask · Django · Node.js · TypeScript · AWS · Azure · Docker · NLP

Technical Index

Languages & Runtimes

Go (Golang)·Python·TypeScript / JavaScript·SQL

Cloud, DevOps & Observability

AWS (ECS, ECR, S3)·Google Cloud Platform (GCP)·Docker & Kubernetes·Terraform & ArgoCD·Datadog & FinOps·CI/CD Pipelines

AI & Machine Learning

LLMs (Google Gemini)·Deep Learning (CNN, LSTM, Transformers)·PyTorch, TensorFlow & Keras·Natural Language Processing (NLP)

Databases & Event Streaming

PostgreSQL & MySQL·Apache Kafka & RabbitMQ·Redis & MongoDB·Databricks

Architecture & Platform Engineering

High-Concurrency Microservices·REST & gRPC APIs·Platform Engineering (IDP w/ React)·FinOps & Cloud Economics·Automated Testing (TDD / Unit)

Education

MBA in Software Engineering—USP / ESALQ

2024 – 2026

Enterprise software architecture, technical governance, and distributed systems leadership.

Postgraduate Specialization in Artificial Intelligence—Mackenzie Presbyterian University

2022 – 2023

Deep Learning, Computer Vision, Neural Networks, and Applied Machine Learning.

B.S. in Computer Science—Mackenzie Presbyterian University

2018 – 2021

Languages

Portuguese

— Native

Native speaker based in São Paulo, Brazil.

English

— Full Professional / Fluent

Extensive experience collaborating in global engineering teams and authoring technical documentation.