• Participar do Refinamento Técnico (frequência semanal/quinzenal) para detalhar soluções e identificar riscos • Apoiar o PO na validação da viabilidade técnica das histórias antes da sprint • Dividir histórias em tarefas técnicas e estimar esforço com o time • Acompanhar a implementação durante a sprint, revisando código e arquitetura • Participar da Daily para identificar impedimentos técnicos e ajudar o time • Conduzir o refinamento técnico com o time de desenvolvimento, infraestrutura e dados • Apoiar na criação de Change Requests e na defesa no CAB/TAB quando necessário • Garantir que a solução entregue esteja alinhada aos padrões de arquitetura do Grupo Equatorial • Participar da Review (System Demo) para validar tecnicamente a entrega • Colaborar com o EP (Executor de Projeto) na gestão do dia a dia do time

📝 Day-to-day responsibilities: • Define the software architecture for the projects under your responsibility. • Define solution architecture in collaboration with infrastructure and operations teams. • Ensure code quality and maintainability produced by the squad through code reviews. • Support developers in implementing new features. • Participate in defining the company’s reference architecture. • Evaluate and adopt new technologies, tools and practices that lead to better solutions for our customers through proofs of concept. • Promote a DevSecOps culture across the organization by implementing processes and tools for automation (CI/CD pipelines, flows that leverage AI). • Establish guidelines and standards for the secure and productive use of AI tools (e.g., GitHub Copilot, Cursor, LLMs) in the development cycle, ensuring data security and code quality.

Role Description We are looking for a Distributed Systems Engineer with experience in building high-performing, scalable, enterprise-grade applications. You will be responsible for: - Building API interfaces (for customers, UI team, etc.) - Building a high-performance queuing/storage engine - Collaborating with UI, connectivity, and DevOps teams to come up with elegant solutions to complex problems - Working in a polyglot environment where you can learn new languages and technologies whilst working with an enthusiastic team Responsibilities - Designing and developing high-volume, low-latency applications for mission-critical systems - Delivering high-availability and performance - Contributing in all phases of the development lifecycle - Writing well-designed, testable, efficient code - Evaluating and proposing improvements to existing systems Qualifications - 5+ years of industry experience - Experience building and shipping large-scale, reliable, highly distributed systems - Systems-level programming experience, especially in C, Go, Rust - Expertise in L2, L3, and/or L4 networking protocols - Good understanding of Linux networking and security - Experience building on top of Linux kernel networking primitives – netfilter, nftables, eBPF, tc, network namespaces, etc. - Experience with large-scale distributed data pipelines, from data structuring to efficient querying to data analysis - Experience of working with public cloud infrastructure providers (AWS/Azure/Google Cloud) - Understanding of Kubernetes concepts - Excellent debugging and optimization skills - Understanding at the protocol level, including the differences between what the specs say, and what actually happens on the Internet - Contributions to open source projects is a plus - Excited by the idea of optimizing complex solutions to general problems - Attention to detail and ability to solve complex customer problems - Own solutions end-to-end and drive the design, development, and deployment process - Able to work across teams and level common, sustainable solutions

• Lead the design and implementation of secure, fault-tolerant, and highly available cloud infrastructure on public cloud services. • Continuously improve system performance, identify bottlenecks, and deploy optimizations for smooth operation at scale for highly-trafficked services. • Lead the evolution of our Continuous Integration and Deployment pipelines in a multi-service environment, reducing complexity and increasing resilience. • Plan and execute timely infrastructure upgrades and changes using infrastructure-as-code to enable faster execution, improved scale, and increased cost efficiency. • Leverage tools like DataDog, Sentry, and others to monitor system infrastructure, configure alerts for anomalies, and proactively ensure system health. • Define, promote, and maintain runbooks, operating procedures, and system architecture diagrams. Uphold high standards of quality through rigorous testing and code reviews. • Act as a force multiplier by providing technical guidance, mentoring other engineers, and fostering a culture of engineering excellence. • Embrace a culture of flexibility and efficiency, moving fast to capture opportunities while wearing multiple hats in a startup environment