Compass

Backend Engineer

• Participar ativamente do ciclo de desenvolvimento de software, desde a concepção até a implementação, garantindo que as soluções sejam robustas, escaláveis e eficientes;
• Demonstrar proatividade, protagonismo e autonomia para tornar o time mais independente;
• Manter a comunicação fluida e transparente junto ao time;
• Participar de reuniões, eventos e atender solicitações conforme a demanda;
• Identificar e implementar melhorias contínuas na arquitetura e nos processos do time;
• Revisar o código escrito por outros desenvolvedores, fornecendo feedback construtivo para assegurar que os padrões de codificação e as melhores práticas sejam seguidas;
• Documentar processos por meio de textos ou diagramas.

Spring Boot Back-End Developer

Data Scientist

• Develop and advance Machine Learning, Generative AI, and Computer Vision solutions.
• Implement RAG architectures, ingestion pipelines, and semantic search over vector databases.
• Build APIs and applications using LangChain, LangGraph, OpenAI, and AWS Bedrock.
• Evaluate GenAI solution performance using quality, latency, and cost metrics.
• Develop, train, and deploy image classification, detection, and segmentation models.
• Work on building and maintaining data pipelines and applications in AWS and Azure environments.
• Participate in technical decisions, refinements, and agile ceremonies, ensuring solution quality and scalability.

Senior Data Scientist – LLMs, GenAI, RAG

Product Manager

• Define the vision, strategy and positioning of Credit products, ensuring an architecture that is agnostic, modular and applicable to different business models.
• Build and execute the product roadmap end-to-end, from conception to launch and continuous evolution.
• Lead robust Discovery processes, identifying opportunities, validating hypotheses and mapping risks and the needs of users and partners.
• Transform data, analytics and behavioral insights into actionable product decisions, driving prioritization and new features.
• Work closely with UX, Engineering, Credit, Risk, Commercial, CX and Legal teams to ensure regulatory compliance, scalability and excellence in customer experience.
• Define and monitor success metrics, including KPIs for conversion, delinquency (default), adoption, performance and unit economics.
• Lead experimentation initiatives, A/B testing, incremental rollouts and data-driven development.
• Hybrid role with 2 days on-site.

Senior Product Owner

• Analyze and understand source code developed in Node.js, identifying business rules, integrations, and dependencies.
• Transform and refactor monolithic or legacy applications into a Java-based microservices architecture.
• Develop, enhance, and maintain microservices following software architecture and development best practices.
• Create and execute unit tests to ensure the quality, stability, and reliability of deliveries.
• Integrate systems and applications via REST and GraphQL APIs (Apollo Client), ensuring performance and security.
• Participate in code reviews, propose technical improvements, and contribute to the continuous evolution of the platform.
• Work closely with cross-functional teams to ensure the correct implementation of business requirements.

Java Back-End Developer

Frontend Engineer

• Desenvolver soluções front‑end utilizando Angular com Material Design;
• Integrar aplicações com backend por meio de APIs REST;
• Construir interfaces com JavaScript (ES5/ES6+), HTML5 e CSS3, utilizando frameworks como Bootstrap;
• Atuar na manutenção e evolução de aplicações com AngularJS, jQuery e Ajax;
• Garantir qualidade das entregas por meio de testes unitários e documentação técnica de front‑end.

Angular Front-End Developer, Pleno

• Projetar, desenvolver e operar aplicações transacionais baseadas em IA Generativa e LLMs
• Desenvolver APIs REST em Python seguindo arquitetura de microsserviços
• Construir pipelines de inferência e integrar modelos de Machine Learning e LLMs utilizando LangChain e LangGraph
• Implementar soluções de RAG (Retrieval-Augmented Generation) integradas a fontes de dados corporativas
• Manipular e processar dados utilizando Pandas e NumPy
• Garantir qualidade de código através de Clean Code, princípios SOLID e testes automatizados (unitários e integração)
• Implementar observabilidade ponta a ponta utilizando logs, métricas e tracing com Prometheus, Grafana e Datadog
• Manter e evoluir pipelines CI/CD utilizando GitHub
• Atuar na construção e sustentação de ambientes em AWS utilizando infraestrutura como código (Terraform)
• Trabalhar com containers e orquestração utilizando Docker e Kubernetes

Senior AI/ML Backend Software Engineer

Project Manager

• Lead technology projects from initiation through completion.
• Plan schedules and monitor deliverables.
• Define and organize project teams.
• Manage risks, costs and margins.
• Monitor financial metrics.
• Work directly with international clients.
• Ensure an excellent client experience throughout execution.
• Support the development of assigned professionals.
• Identify opportunities to expand projects in partnership with the commercial team.

Data Engineer

• Implement and evolve the Corporate Data Platform (Enterprise Lakehouse);
• Participate in modernizing the corporate analytics ecosystem, migrating workloads from Azure to AWS and Databricks;
• Develop, maintain and evolve scalable, reliable and high-performance data pipelines;
• Build data ingestion, transformation and delivery solutions using Lakehouse architecture;
• Implement Data Engineering standards, DataOps, CI/CD and code versioning;
• Support data governance, data quality and data cataloging initiatives;
• Refactor legacy pipelines into modern solutions based on Apache Spark and Databricks;
• Work on complex integrations between corporate systems, ensuring scalability, governance and data reliability;
• Collaborate in implementing Data Lake, Data Warehouse and Lakehouse architectures in Cloud environments.

Senior Data Engineer, Databricks

Analyst

• Execute activities related to maintaining credit routines, both manual and automated;
• Analyze large volumes of data to support decision-making and ensure the effectiveness of credit policies;
• Monitor indicators and metrics to evaluate the accuracy of credit policies and processes;
• Identify opportunities for continuous improvement in workflows, proposing innovative solutions;
• Support the collection of evidence and strengthening of controls for audits;
• Participate in the implementation and validation of tests related to credit processes;
• Work on strategic projects within the Credit area;
• Collaborate with cross-functional teams to evolve solutions and processes;
• Ensure compliance with policies, regulations, and Compliance practices.

Credit Analyst – MID

Cloud Engineer

• Develop new platform integrations with data consumption engines, focusing on Databricks, Glue ETL, and AWS Lambda;
• Evolve proprietary APIs and event-driven workflows that support the platform;
• Implement and automate provisioning of resources and permissions in a multi-account AWS environment;
• Enhance the data virtualization and sharing mechanism between producers and consumers, based on data contracts;
• Ensure observability, governance, and security of the platform;
• Support producer and consumer teams in using the solution;
• Participate in architecture decisions, technical documentation, and team mentoring.

Senior AWS Data Engineer

• Develop front-end solutions using Angular with Material Design;
• Integrate applications with back-end systems via REST APIs;
• Build interfaces with JavaScript (ES5/ES6+), HTML5 and CSS3, using frameworks such as Bootstrap;
• Maintain and evolve applications built with AngularJS, jQuery and Ajax;
• Ensure delivery quality through unit tests and front-end technical documentation.

Angular Developer, Mid-level

• Maintain scalable and reliable data pipelines using modern distributed processing technologies to ensure the ingestion, transformation, and delivery of high-quality, high-performance data;
• Work on migrating workflows and code developed in Alteryx to the AWS platform, using AWS Glue;
• Responsible for restructuring data pipelines, adapting existing logic for a cloud-native environment, and ensuring the performance, scalability, and governance of implemented solutions;
• Carry out the migration of Alteryx flows to the Data Mesh data ecosystem;
• Analyze, rewrite, and restructure existing programs to align them with the development standards defined for the Mesh, as well as orchestrate and integrate with the Mesh's data domains;

Data Engineer – Alteryx, AWS

Robotics

• Develop low- and medium-complexity automations using best practices and following development standards, aiming for process efficiency and scalability;
• Perform preventive and corrective maintenance on implemented automations to ensure functionality and efficiency.
• Provide automation support by handling low- and medium-complexity tickets, ensuring high availability of automations;
• Participate in meetings and in defining process improvements;
• Work on developing automations using low-code tools;
• Work in an automation squad and provide end-to-end support for automations by handling tickets from start to finish;
• Have experience developing automations with low-code tools;
• Have worked in an automation squad;
• Have provided end-to-end automation support, handling tickets from start to finish;

RPA Developer – Mid-level

SDET

• Analyze, plan, implement, and maintain test automation scripts;
• Develop scalable, reusable, and easy-to-maintain automation frameworks;
• Ensure application quality through UI and API test automation;
• Contribute to the continuous integration of test suites into CI/CD pipelines;
• Lead test automation strategies and promote the evolution of the team's quality practices;
• Work from requirements refinement onward, promoting a Shift-Left culture;
• Participate in defining and implementing automation standards and best practices;
• Mentor junior and mid-level QA professionals, supporting their technical development;
• Perform performance testing and support application security-related initiatives;
• Collaborate with development, product, and business teams to ensure high-quality deliveries;
• Monitor the coverage and effectiveness of automated tests, proposing continuous improvements.

Senior QA Automation Engineer

• Design test cases for Web, API and Mobile (Android and iOS) applications;
• Execute functional and automated tests, ensuring the quality of deliverables;
• Develop, implement, and maintain test automation scripts with a focus on scalability, efficiency, and expanding test coverage;
• Identify, log, and track defects, blockers, and bugs using management tools;
• Contribute to continuous integration by integrating automated tests into CI/CD pipelines;
• Participate in the analysis, planning, and execution of the test strategy, ensuring quality best practices in agile environments and cross-functional teams.