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• Use of Claude Code to accelerate engineering, orchestration of agentic workflows, and integration via MCP • Develop and optimize scalable, reliable, and efficient data pipelines • Implement processes and tools to ensure data quality, accuracy, and consistency, as well as documentation throughout the data lifecycle • Work with large volumes of heterogeneous data, transforming them into insights to support decision-making • Identify opportunities to optimize workflows and recommend improvements to the existing data infrastructure • Build and maintain analytical models (Gold layer) that support dashboards, reports, and data products for business teams

• Use AI-based software development agents to accelerate engineering • Make technical decisions, proposing and implementing solutions • Create and test prototypes to validate new ideas • Maintain high-quality code, following best practices • Develop efficient, scalable technical solutions • Manage your task backlog, ensuring timely delivery • Maintain clear and effective communication with other team members • Produce and maintain clear, detailed technical documentation

• Analisar dados operacionais e financeiros, identificando desvios, tendências e oportunidades de melhoria. • Desenvolver dashboards, relatórios e indicadores estratégicos para suporte à diretoria. • Investigar causas de variações nos resultados e propor ações voltadas à eficiência operacional e otimização de processos. • Atuar em parceria com áreas internas, traduzindo dados em insights para tomada de decisão.

• Generate commercial demand and convert opportunities into qualified meetings. • Approach and qualify inbound leads, identifying pain points and urgency, and building value on first contact. • Re-engage cold leads by creating new narratives, triggers, and hypotheses to regain interest. • Schedule qualified meetings and prepare the lead for the closer with a clear alignment on the problem and expectations. • Prepare the sale before the handoff by presenting benefits and differentiators and guiding the lead to the next step. • Attend meetings when necessary, maintaining context and assisting in conversion. • Manage the CRM rigorously, keeping cadences up to date, follow-ups active, and full control until handoff. • Main goal: Generate a consistent flow of qualified meetings that convert into monthly revenue.

• Own reliability for our global bare metal fleet — monitoring, alerting, incident response, post-mortems • Build and maintain internal tooling: NetBox (infrastructure source of truth), Python/Go services • Drive automation for hardware lifecycle: provisioning, decommissioning, firmware updates, network changes • Collaborate with platform engineers on the provisioning stack • Participate in on-call rotation

• Lead, mentor, and develop Network Operations Tech Leads; Own the full employee lifecycle for the NetOps team • Define and enforce operational standards, processes, and SLAs across network operations; Act as the escalation point for critical network incidents • Align network operations strategy with the broader technology roadmap; Manage relationships with connectivity providers and infrastructure partners • Own and maintain the network operations documentation framework, including runbooks, SOPs, diagrams, and incident procedures

• Design and develop solutions to automate bare metal lifecycle management using cloud native tools. • Champion best practices for bare metal provisioning at scale. • Design, build, test, and release features to improve platform stability. • Develop, optimize, and simplify the provisioning engine, internal APIs, and related applications. • Participate in and lead code reviews to maintain high standards. • Implement and manage the infrastructure that supports ours and customer's applications. • Escalate and track problems and incidents to the appropriate teams. • Identify areas of improvement in Observability, Monitoring, and code. • Document all developed solutions and results.

• Lead, mentor, and develop Operations Tech Leads • Define and enforce operational standards, processes, and SLAs across the infrastructure operations function • Act as the primary escalation point for critical infrastructure incidents • Oversee monitoring systems and tooling • Align operations strategy with the broader infrastructure roadmap • Own and evolve the operations documentation framework

• Garantir confiabilidade e qualidade do sistema: Desenvolver e manter código com alto padrão de qualidade, priorizando disponibilidade, segurança, integridade dos dados e prevenção de incidentes recorrentes. • Entregar valor com consistência: Construir funcionalidades completas, testadas e alinhadas às necessidades reais do produto, equilibrando velocidade e robustez técnica. • Tomar decisões técnicas fundamentadas: Avaliar trade-offs considerando performance, manutenibilidade, segurança, custo e impacto no negócio, evitando over-engineering. • Colaborar e desbloquear o time: Atuar de forma colaborativa em code reviews, pair programming e discussões técnicas, assumindo responsabilidade coletiva pelos resultados do squad. • Co-criar soluções com Produto e Dados: Contribuir tecnicamente na definição de escopo, avaliando viabilidade, riscos e alternativas antes do início do desenvolvimento. • Contribuir para evolução arquitetural: Identificar débitos técnicos, gargalos e oportunidades de melhoria estrutural, participando ativamente da evolução da arquitetura. • Adotar mentalidade AI-first: Utilizar ferramentas de IA para ganho de produtividade e qualidade, mantendo responsabilidade técnica sobre decisões e arquitetura. • Comunicar com clareza e responsabilidade: Manter transparência sobre entregas, riscos e bloqueios, documentando decisões relevantes e garantindo alinhamento entre stakeholders.

• Design, build, and maintain scalable data pipelines (ETL/ELT) to process structured and unstructured data (including PDF-based data extraction workflows) • Model and transform data into clean, reliable datasets optimized for analytics and business intelligence • Ensure data quality, consistency, and availability across systems • Partner with business and executive teams to understand data needs and enable data-driven decision-making • Develop and maintain dashboards and reports using tools like Power BI • Automate data workflows and reporting processes to improve efficiency and scalability • Collaborate with backend and engineering teams to integrate data systems and APIs • Contribute to the definition of data architecture and best practices • Support exploratory analysis and provide high-quality datasets for analytics and future machine learning use cases • Communicate technical concepts and data insights clearly to both technical and non-technical stakeholders