Martin S.

Martin S.

Mid-Level Software Engineer @ Microsoft

About

Software Engineer with experience in full software development lifecycle - design and development decisions, up to testing, quality assurance, performance and release, as well as back-end and front-end development using Java, TypeScript, React and Node. Experienced in building and optimizing scalable high-volume backend systems and APIs leveraging cloud providers and Kubernetes for microservice architecture. Pursuing an MSc in Computer Science in the Artificial Intelligence field, leveraging Large Language Models on the construction of structured knowledge graphs for facilitating scalable systems formalization.

Country

Brazil

City

São Paulo

Industry

Computer Software

Skill

Machine Learning, Artificial Intelligence (AI), Ontology Engineering, Jenkins, Azure DevOps, Node.js, DevOps, React.js, Kubernetes, MongoDB, Microservices, Amazon Web Services (AWS), AWS, Docker, Gradle, Spring Framework, Logic Programming, Object-Oriented Programming (OOP), SQL, Git

Experience

Microsoft

Mid-Level Software Engineer

Microsoft

LinkedIn
2026-3 - Present · 7 mos

Software Engineer on the M365 Core team, building the high-scale compute infrastructure for Copilot. Focused on designing complex orchestration pipelines for massive LLM workloads, cutting system latency, and optimizing compute costs to drive developer velocity across the organization.

SAP

Software Engineer

SAP

LinkedIn
2023-9 - 2026-3 · 2 yrs 7 mos

São Leopoldo, Rio Grande do Sul, Brasil

Contributed on high impact microservices using Java and JavaScript, participating in architecture and design decisions for large-scale and high-throughput database services, ensuring scalability and reliability. Implemented complex RESTful APIs for high-performance integration between internal tools. Took part on full software development lifecycle for fullstack component, including design, development (backend/frontend), testing, and release of features for components from scratch. - Microservices - Building and maintaining large-scale, high-throughput backend services - Java - Spring Framework - Kubernetes - Docker - Cloud Providers (AWS, BTP) - Jenkins pipelines - Azure - React - JavaScript - RESTful APIs - SQL Databases (PostgreSQL, Redis and HANA)

TownSq

Backend Software Engineer

TownSq

LinkedIn
2022-10 - 2023-9 · 1 yr

Porto Alegre, Rio Grande do Sul, Brazil

Backend development powering a rapidly growing mobile app (100,000+ users) with same-day production deployments. Participated in driving cloud-native adoption by developing and maintaining microservices architecture on AWS (ECS, EC2, SQS, SNS, EventBridge, Lambda). Took part in architectural design and implementation of solutions focused on platform rapid growth, scalability, performance, and resilience. - Java - RESTful APIs - Spring Framework (Spring Boot, Spring MVC, Spring Data) - Microservices - AWS (Lambda, EC2 instances, ECS, SQS, SNS, CloudWatch, CloudFormation) - NoSQL Databases (MongoDB) - Docker

NewFields Brasil

Project Intern

NewFields Brasil

LinkedIn
2022-1 - 2022-7 · 7 mos

Novo Hamburgo, RS

Collaborated in database management and in-depth data analysis, leveraging querying techniques and Python scripting to process geospatial (SIG) data. Took part in transforming raw information into actionable insights for critical reports and decision-making. Supported in communication with both technical and non-technical stakeholders to produce clear, concise technical documentation to be used in technical reports. - Python for Data Analysis & Extraction - Relational Database Management - Extensive Data Analysis & Extraction - Direct Stakeholder Communication - Technical documentation

Federal University of Rio Grande do Sul

Bolsista de Extensão

Federal University of Rio Grande do Sul

LinkedIn
2019-9 - 2022-1 · 2 yrs 5 mos

Porto Alegre, Rio Grande do Sul, Brazil

Federal University of Rio Grande do Sul

Bolsista de Iniciação Científica PROBIC

Federal University of Rio Grande do Sul

LinkedIn
2018-8 - 2019-8 · 1 yr 1 mo

Porto Alegre e Região, Brasil

G&P Soluções Ambientais

Intern

G&P Soluções Ambientais

LinkedIn
2020-1 - 2021-1 · 1 yr 1 mo

Porto Alegre, Rio Grande do Sul, Brazil

Education

Federal University of Rio Grande do Sul

Federal University of Rio Grande do Sul

LinkedIn

Computer Science - Artificial Intelligence

2024-9 - 2026-9 · 2 yrs 1 mo
Federal University of Rio Grande do Sul

Federal University of Rio Grande do Sul

LinkedIn
2017 - 2022 · 5 yrs
UNIASSELVI

UNIASSELVI

LinkedIn

System Analysis and Development

2021-1 - 2023-12 · 3 yrs

Martin S.'s Contact Information

Email

******@***.com

Phone

(**) *** ****

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