Livelo Brasil

Artificial Intelligence

• Strong experience in software development using Python;
• Experience with APIs, integrations, and software architecture;
• Experience with CI/CD, test automation, and code review;
• Hands-on experience with generative AI applied to development;
• Autonomous, good communication skills and product-oriented mindset.
• Differentiators
• Experience with digital products at scale;
• Desirable knowledge of Java, JavaScript/TypeScript or similar;
• Experience with distributed systems and cloud;
• Interest in progressing to technical leadership in the medium term.

Senior Developer – Artificial Intelligence

Frontend Engineer

• Coordinate architecture solutions for development platforms: design, implementation, monitoring and adoption;
• Lead the creation and evolution of internal platforms that support mobile and web applications, design systems and APIs;
• Define and promote standards for componentization, reuse and consistency across different channels and technologies;
• Support the adoption of best practices for quality, performance, security and observability in the solutions developed;
• Ensure scalability, resilience and a strong developer experience (Developer Experience) on the platforms;
• Ensure deadlines are met and deliver high-quality solutions;
• Define and track team and product metrics, planning actions to support decision-making;
• Collaborate effectively with product, design, engineering and other areas;
• Ensure teams have the knowledge and processes that support tactics and strategies to optimize operational efficiency;
• Apply perspectives such as economics, purpose, time horizons, change, risks, metrics and objectives;
• Implement continuous improvement practices to support the career development of team members.

Platform Engineering Coordinator - Front-end, APIs

Analyst

• Serve as the technical reference for BI and Analytics, supporting the Tech Lead, analysts, and product owners (POs);
• Translate business needs into analytical models, metrics, and dashboards;
• Develop and maintain analytical pipelines in BigQuery with a focus on performance, scalability, and cost;
• Design and maintain semantic models and executive and operational dashboards in Looker;
• Ensure the quality, reliability, and consistency of data used in analyses;
• Perform exploratory and diagnostic analyses to identify opportunities, risks, and business levers;
• Work closely with business areas (Product, Marketing, CRM, Finance, Operations) as a strategic partner;
• Contribute to defining and disseminating BI best practices, metrics, and data governance;
• Support architectural decisions in collaboration with Data Engineering;
• Actively participate in agile rituals, planning, and prioritization of analytical work.

Mid-level Analytics Analyst

Analytics Engineer

• Measurement and analysis of CRM and performance campaigns;
• Personalization of campaigns and customer loyalty strategies;
• Development of dashboards and reports to monitor KPIs;
• Tagging and monitoring of digital performance;
• Extraction and manipulation of data across different platforms (SQL, BigQuery);
• Executive presentations for stakeholders and leadership;
• Customer lifecycle analysis and insights to optimize journeys;
• Development of new data products and solutions (phase 2 of the role).

Analytics Specialist, PwD

Software Engineer

• Build and maintain a clear view of the entire software development lifecycle;
• Participate in and support the team in building and maintaining complex products in partnership with more specialized technical areas and business stakeholders;
• Collaborate with the team in a friendly manner and ensure the success of deliveries;
• Contribute to software engineering best practices, such as automated testing, version control, continuous integration, and code review;
• Identify opportunities for continuous improvement in development processes and solution architecture;
• Ensure solutions are aligned with the company's defined security, scalability, and performance standards;
• Stay up to date with relevant trends and technologies, proposing innovations that add business value;
• Document technical solutions clearly and accessibly to facilitate understanding and future maintenance;
• Participate in Agile ceremonies (such as planning, reviews, and retrospectives), contributing technical insights and a focus on value-driven deliveries.

Senior Analyst, Systems Engineering

• Atuar como referência técnica em BI e Analytics, apoiando Tech Lead, Analistas e POs;
• Traduzir necessidades de negócio em modelagens analíticas, métricas e dashboards;
• Desenvolver e manter pipelines analíticos em BigQuery com foco em performance, escalabilidade e custo;
• Projetar e manter modelos semânticos e dashboards executivos e operacionais no Looker;
• Garantir qualidade, confiabilidade e consistência dos dados utilizados nas análises;
• Realizar análises exploratórias e diagnósticas para identificação de oportunidades, riscos e alavancas de negócio;
• Atuar junto às áreas de negócio (Produto, Marketing, CRM, Financeiro, Operações) como parceiro estratégico;
• Contribuir para definição e disseminação de boas práticas de BI, métricas e governança de dados;
• Apoiar decisões arquiteturais em conjunto com Engenharia de Dados;
• Participar ativamente de rituais ágeis, planejamento e priorização de demandas analíticas.

Senior Developer – Artificial Intelligence

Platform Engineering Coordinator - Front-end, APIs

Mid-level Analytics Analyst

Analytics Specialist, PwD

Senior Analyst, Systems Engineering

Analista de Analytics, SR