AB InBev

• Own high-visibility FinOps and data initiatives tied to the company's most strategic KPIs. • Drive company-wide cost performance with an Excellence in the Means mindset, ensuring disciplined execution, sustainable efficiency, and measurable impact. • Lead optimization programs across Databricks workloads, pipelines, clusters, and storage to unlock scalable efficiency. • Build executive-ready dashboards and narratives that translate cost and performance into business impact. • Monitor spend in real time, detect anomalies early, and orchestrate swift cross-team action. • Define and elevate FinOps governance, standards, and accountability across domains. • Partner with engineering and platform teams to shape cost-efficient architecture decisions from day one. • Drive showback/chargeback transparency and strengthen unit-economics visibility at domain level. • Influence budget planning and forecasting with data-driven insights and ROI-based prioritization. • Convert technical findings into clear recommendations for product, finance, and leadership stakeholders. • Collaborate with Data, Finance, Product, Cloud, and Ops to accelerate measurable business outcomes.

• Be part of a high-impact data science team building intelligent systems that support sales execution and customer engagement at a global scale. • Design, develop, and deploy machine learning models and optimization solutions across the full lifecycle — from research and experimentation to production — focusing on customer segmentation, visit planning, and execution strategy. • Apply advanced techniques such as statistical modeling, clustering, optimization, and model explainability to generate actionable insights and improve decision-making. • Translate complex commercial and operational problems into scalable data science solutions, incorporating business rules, constraints, and edge cases. • Lead and contribute to experimentation and performance evaluation, ensuring models are robust, interpretable, and aligned with business objectives. • Write production-grade code and build reusable data and modeling pipelines that operate reliably at scale. • Collaborate closely with engineers, product managers, operations teams, and business stakeholders to ensure solutions are effectively integrated into frontline tools and processes. • Drive technical excellence by exploring and applying state-of-the-art methodologies in machine learning, optimization, and analytics. • Ensure model transparency and trust by leveraging explainability techniques and clearly communicating model behavior and trade-offs to stakeholders.

• Support the development and maintenance of data pipelines, ingestion processes, and data transformations. • Create and maintain SQL queries, Python scripts, and Spark-based workloads used for data processing and analytics. • Assist in troubleshooting pipeline failures, data quality issues, and operational incidents. • Work with senior engineers to implement schema mappings, transformation logic, and data validation rules. • Ensure datasets meet expected schemas, data contracts, and quality standards. • Support metadata management, dataset documentation, and lineage activities. • Assist in maintaining data classification information according to company standards. • Help automate repetitive operational and data management tasks to improve efficiency and reliability. • Contribute to monitoring, alerting, and operational support for data pipelines and workflows. • Participate in testing activities, including unit tests, transformation validation, and data quality checks. • Follow established engineering standards, coding practices, and team development patterns. • Learn and apply security, privacy, and compliance requirements when handling sensitive or regulated data. • Collaborate with Data Governance, Security, and Compliance teams when required. • Contribute to continuous improvement initiatives focused on data trust, reliability, and operational excellence.

• Lead end-to-end execution of global programs, from planning through delivery and post-launch activities; • Manage complex, multi-region projects ensuring alignment with strategic business goals; • Provide clear and consistent communication to stakeholders, proactively identifying risks and driving resolution of critical issues; • Collaborate cross-functionally with engineering, product, and business teams to ensure alignment on priorities and deliverables; • Develop and maintain project plans, including timelines, resource allocation, and budget management; • Identify, assess, and mitigate risks, implementing strategies to minimize potential impact on delivery; • Monitor program performance through data and metrics, driving informed decision-making and continuous optimization; • Promote continuous improvement of program management processes, increasing efficiency and effectiveness; • Ensure a strong customer-focused approach by applying knowledge of support processes and delivering high-quality solutions.

• Design, develop, and maintain scalable backend services using Java and Spring Boot; • Contribute to the evolution of microservices architecture, ensuring performance, resilience, and maintainability; • Develop and optimize RESTful APIs and integrations across distributed systems; • Improve system observability, monitoring, and logging; • Collaborate with cross-functional teams to deliver scalable solutions aligned with business needs; • Participate in technical discussions, architecture decisions, and continuous improvement initiatives; • Follow engineering best practices, including code quality, testing, and automation; • Contribute to CI/CD pipelines, deployment processes, and cloud-native environments; • Support containerized applications using technologies such as Docker and Kubernetes.

• Be part of a high-impact data science team building intelligent logistics systems that optimize delivery operations at a global scale. • Design, develop, and deploy machine learning models and optimization solutions across the full lifecycle — from research and experimentation to production — focusing on planning, forecasting, and operational decision-making. • Apply advanced techniques such as statistical modeling, optimization, geospatial analytics, and forecasting to improve efficiency, reliability, and cost of delivery operations. • Translate complex real-world logistics constraints into scalable mathematical models and data-driven systems. • Contribute to experimentation and performance evaluation through offline analysis and online testing, ensuring solutions are robust, scalable, and aligned with operational goals. • Write production-grade code and build reusable data and modeling pipelines that operate reliably at scale. • Collaborate closely with engineers, product managers, operations teams, and business stakeholders to deliver impactful solutions. • Drive continuous improvement by exploring new methodologies in machine learning, optimization, and applied statistics, raising the technical bar across the organization.

• Develop and maintain dashboards, KPIs, and analytical deliverables with end-to-end accountability for data accuracy, metric definitions, and stakeholder usability. • Use SQL and Power BI to query, model, and visualize data — building reliable reports that support business decision-making. • Collaborate with commercial, product, and Data Engineering teams to translate requirements into clear, actionable analytics. • Monitor data quality, flag inconsistencies early, and support corrective actions with engineering partners. • Contribute to metric standardization and documentation — helping ensure consistent definitions across reports and tools. • Work in Git-based workflows (branches, pull requests) for SQL and BI assets, following team standards for versioned analytics delivery. • Support team initiatives such as centralized KPI layers, structured self-service, and the migration toward more robust analytics operations — including CI/CD for BI where applicable. • Deliver ad hoc analyses with limited supervision, connecting insights to business questions and recommending next steps.

• Collaborate with teams to design, build, deploy and monitor new and existing services; • Build and evolve our change management and release processes; • Identify and improve processes by automation; • Focus on observability and logging with our services by proactive monitoring, alerting, and detecting anomaly in our systems; • Take part in monitoring activities, being able to quickly mitigate issues in production while project teams are engaged; • Mitigate issues in production by using a variety of methods like scripts, automations, infrastructure scaling; • Raise 3rd party tickets when needed (Microsoft, CloudAMQP, NewRelic, etc); • Update and improve runbooks; • Deep-dive into root cause analysis with teams to prevent incidents; • Collaborate with infrastructure and security teams to build scalable, secured and resilience systems; • Practice Support Engineering methodologies such as defining SLO and error budget; • Work closely with Operations team to ensure all processes are aligned with teams; • Contribute to capacity planning and access management process; • Be constantly challenged to create world-class solutions.

• Define and Advance ML Platform Strategy • Drive Adoption and Platform Delivery • Enable Scalable Machine Learning Operations

Role Description A maior cervejaria do mundo está com vaga aberta para Engenheiro de Cibersegurança Pleno (Red Team). Estamos em busca de um(a) profissional de Segurança Ofensiva com foco em testes de penetração, capaz de identificar vulnerabilidades reais e traduzi-las em riscos claros para o negócio. Esse profissional será responsável por executar testes em aplicações, APIs, infraestrutura e ambientes em nuvem, utilizando frameworks como MITRE ATT&CK e boas práticas de mercado, contribuindo diretamente para a evolução da maturidade de segurança da organização. Essa oportunidade está disponível para trabalho remoto. Principais responsabilidades - Executar testes de penetração em: - Aplicações web e APIs (OWASP Top 10) - Infraestrutura (rede interna e externa) - Ambientes em nuvem (Azure, GCP, AWS) - Containers - Autenticação e autorização - Utilizar MITRE ATT&CK para: - Mapear técnicas exploradas - Estruturar ataques - Apoiar evolução de detecções - Identificar, explorar e documentar vulnerabilidades com evidências técnicas - Elaborar relatórios técnicos com: - Descrição da falha - Evidência de exploração - Impacto para o negócio - Recomendações práticas de mitigação - Apoiar times técnicos na validação e correção das vulnerabilidades - Participar de testes recorrentes e retestes - Apresentar relatórios técnicos dos pentests realizados: - Para Stakeholders - Para Desenvolvedores - Em alguns casos saber apresentar tecnicamente um relatório em inglês para times internos de outros países (unidades de negócio fora do Brasil) - Apoiar iniciativas pontuais de: - Purple Team - Simulação de ataques com ATTACK IQ - Melhoria contínua de segurança Qualifications - Perfil analítico e investigativo - Capacidade de detectar vulnerabilidades técnicas com impacto para o negócio - Boa comunicação com times de desenvolvimento e infraestrutura e demais gestores e pares - Organização para documentar evidências - Postura ética e respeito às regras de engajamento - Colaborativo: facilidade em trabalhar com outros times - 3+ anos em segurança ofensiva, sendo pelo menos 1+ ano em Red Team/adversary emulation e testes de penetração formais - Forte experiência em pentest de aplicações web/APIs (OWASP Top 10), falhas de autenticação/autorização, testes de mobile, redes e infraestrutura - Capaz de se comunicar em inglês (escrita e verbal), com capacidade de interagir com stakeholders globais e produzir/validar relatórios em inglês Requirements - Experiência em ambientes modernos: Active Directory, Linux, nuvem (AWS/Azure/GCP), containers - Excelentes habilidades de comunicação escrita e verbal; capacidade de criar relatórios técnicos e apresentações executivas - Capacidade de liderar projetos de forma autônoma, orientar outros membros da equipe e gerir entregas múltiplas - Certificações na área - Experiência com automação de scripts (Python, Bash, etc) Benefits - 25 dias de home office - Vale refeição ou alimentação ifood - Vale transporte - Bônus - Plano de saúde e Telemedicina - Convênio odontológico - Convênio Farmácia - Seguro de vida - Instituto Ambev de Previdência Privada - Auxílio Material Escolar - Cesta de Natal e Kit Congelado - Brinquedos de Natal - Empresa cidadã (licença maternidade e paternidade) e presente do bebê - Desconto mensal em produtos AMBEV - Wellhub (Gympass) - Fretado - Abono anual referente a um salário