Compass

Backend Engineer

• Act as a Backend Developer focused on Data and Integrations;
• Build, maintain and evolve data pipelines that support digital products;
• Develop and optimize large-scale data pipelines using Apache Spark (Python and/or Scala);
• Create and maintain serverless functions on AWS using AWS Lambda;
• Develop APIs and integrations using Node.js;
• Implement observability and monitoring practices for data flows and services using Dynatrace;
• Model, administer and ensure the performance of distributed and relational databases;
• Work collaboratively in an agile environment, participating in team ceremonies and interacting with product and engineering teams;
• Contribute to the quality, scalability and efficiency of digital solutions aimed at Sales Force Management for leaders and business managers.

Senior Backend Developer

Cloud Engineer

• Support clients in adopting application and infrastructure modernization solutions on AWS;
• Act as a technical reference for designing, validating, and evolving scalable, secure, resilient, and efficient cloud architectures;
• Develop solutions, reference models, frameworks and tools for the AWS platform;
• Provision, configure and manage infrastructure on AWS, ensuring security, performance and cost standards;
• Define and implement automation pipelines using Infrastructure as Code (IaC) with Terraform, AWS CloudFormation and AWS CDK (Python);
• Structure, evolve and optimize CI/CD pipelines for deployment of applications, agents and tools;
• Ensure solutions comply with the AWS Well-Architected Framework;
• Conduct technical and non-technical requirements gathering, supporting strategic architecture decisions;
• Define and disseminate best practices for architecture, infrastructure, security, governance and observability;
• Promote knowledge sharing, provide technical mentorship and support the team's development.

Specialist Cloud Architect, AWS

• Support clients in adopting application and infrastructure modernization solutions on the AWS cloud;
• Design, validate, and evolve scalable, secure, resilient, and efficient cloud architectures;
• Develop solutions, reference architectures, and tools for the AWS platform;
• Provision, configure, and manage infrastructure resources on AWS;
• Define and implement infrastructure automation using Infrastructure as Code (IaC) with Terraform, AWS CloudFormation, and AWS CDK (Python);
• Design and maintain CI/CD pipelines for deploying applications, agents, and tools;
• Ensure adherence to the AWS Well-Architected Framework;
• Conduct technical and functional requirements gathering with stakeholders;
• Define architectural standards and best practices for governance, security, and observability;
• Share knowledge and support the technical growth of the team.

Senior Cloud Architect, AWS

• Construir e sustentar APIs desenvolvidas em Python;
• Integrar aplicações com outros serviços da nuvem AWS;
• Colaborar com equipes multidisciplinares para definição, desenho e apoio na implementação de novas funcionalidades.

Full-Stack Developer, Python

• Build software development solutions;
• Work on integrating shopping partners, including product integration and order placement;
• Integrate partners for the "Compre e Pontue" program, ensuring participants complete purchases and receive Livelo points;
• Maintain a clear view of the entire software development lifecycle;
• Support technical and strategic decisions, assessing risks and impacts of solutions with attention to resilience, performance, scalability and security;
• Participate in building and validating developed solutions, ensuring clear communication and well-defined processes;
• Collaborate with the team to design, define and execute product test scenarios;
• Support the team in resolving highly complex problems with proactivity and dynamism;
• Establish and promote agile development practices, encouraging collaboration, continuous feedback and continuous improvement;
• Monitor and analyze performance metrics, identifying opportunities for optimization and system improvement;
• Foster an inclusive and collaborative work environment, encouraging diversity and teamwork while ensuring deliverables.

Senior Full-Stack Developer, Java

DevOps Engineer

• Support clients in adopting application and infrastructure modernization solutions on AWS;
• Develop solutions, templates, and tools for the AWS platform;
• Design, validate, and evolve scalable, secure, and efficient cloud architectures for both new products and the evolution of existing solutions;
• Provision, configure, and manage infrastructure on AWS;
• Define and implement automation pipelines using Infrastructure as Code (IaC) with Terraform, CloudFormation, and AWS CDK;
• Configure and maintain CI/CD pipelines for deploying agents, applications, and tools;
• Ensure adherence to AWS Well-Architected Framework best practices;
• Gather requirements from stakeholders;
• Share technical knowledge and define standards and best practices for cloud architecture, infrastructure, and governance.

AWS DevOps Engineer – MID

Software Engineer

• Develop and enhance Generative Artificial Intelligence solutions focused on document processing and analysis;
• Build and maintain automated data ingestion pipelines for RAG (Retrieval-Augmented Generation) based solutions;
• Prepare, structure, and transform documents for processing by language models (LLMs);
• Develop solutions using cloud AI services, focusing on Azure AI Services and Amazon Bedrock;
• Implement and optimize semantic search mechanisms, embeddings, and vector databases for intelligent information retrieval;
• Create, fine-tune, and evolve prompts to maximize accuracy and the quality of responses generated by AI models;
• Integrate applications with Generative AI APIs, including OpenAI-based solutions and equivalent services;
• Participate in defining and implementing scalable architectures for AI applications in cloud environments;
• Design and execute testing plans for functional and technical validation of developed solutions;
• Create metrics and indicators to monitor performance, quality, and effectiveness of AI solutions;
• Produce technical and functional documentation for implemented solutions;
• Work closely with stakeholders to understand business needs and translate them into AI-based solutions;
• Present results, analyses, and solution developments to technical teams and business areas;
• Contribute to the continuous improvement of practices, frameworks, and processes related to Generative AI and Machine Learning.

AWS AI/ML Developer – Mid

Data Scientist

• Develop Artificial Intelligence and Data Science solutions to support business decision-making;
• Build, train, validate, and optimize Machine Learning and Deep Learning models;
• Work on projects involving NLP, Generative AI, large language models (LLMs), and Retrieval-Augmented Generation (RAG) architectures;
• Develop data pipelines and integrations using Python and SQL;
• Design and implement statistical models applied to business problems;
• Develop dashboards, visualizations, and analytical applications using visualization libraries and AI frameworks;
• Contribute to the development and evolution of intelligent chatbots;
• Work with AWS cloud environments for development and deployment of solutions;
• Collaborate with cross-functional teams to define data-driven strategies;
• Ensure the quality, scalability, and performance of delivered solutions;
• Support technical presentations and communicate results to stakeholders.

Senior Artificial Intelligence Data Scientist

• Develop and maintain chatbots and intelligent agents using Python;
• Design conversational flows and agent architectures, including multi-agent scenarios;
• Work with frameworks such as LangChain, LlamaIndex and CrewAI;
• Integrate solutions with LLM APIs (OpenAI, Anthropic, Gemini);
• Apply prompt engineering techniques and manage conversational context;
• Develop backend APIs using FastAPI and/or Flask;
• Implement integrations via Model Context Protocol (MCP);
• Work with relational and vector databases;
• Ensure quality through automated tests using Pytest;
• Work with Docker, CI/CD and monitoring of production solutions;
• Provide technical contributions to the evolution of architectures and team best practices.

Senior AI/ML Developer

• Develop and implement Generative Artificial Intelligence solutions using AWS services, including Amazon Bedrock;
• Build and evolve intelligent agents using frameworks such as LangChain and LangGraph;
• Develop orchestrated agent workflows, promoting efficient integrations with language models (LLMs);
• Implement AI-based applications such as chatbots, virtual assistants, content classification systems, and intelligent document processing;
• Develop solutions using RAG (Retrieval-Augmented Generation) for context enrichment and information retrieval;
• Model and implement graph-based data structures using Neo4j and the Cypher query language;
• Integrate applications and agents using protocols such as MCP (Model Context Protocol);
• Participate in the definition and implementation of testing, observability, and monitoring for developed solutions;
• Contribute to the continuous evolution of AI application architecture in cloud environments;
• Collaborate with multidisciplinary teams to build data- and AI-driven solutions;
• Use Git for code versioning, collaboration, and project maintenance;
• Support technical documentation and the dissemination of development best practices.