• Build and maintain cross-platform mobile applications using Flutter • Collaborate with clients and internal teams to translate requirements into solid technical solutions • Take ownership of features end-to-end – from architecture decisions to delivery • Contribute to code reviews and uphold engineering standards across projects

• Desenvolver e manter aplicações backend utilizando Java e Spring Boot • Projetar, implementar e evoluir soluções baseadas em microsserviços e arquiteturas distribuídas • Trabalhar com bancos de dados relacionais e não relacionais (com foco em MongoDB) • Colaborar com times de infraestrutura para garantir boa utilização de serviços AWS • Monitorar e garantir a observabilidade das aplicações utilizando ferramentas como Datadog, Grafana ou similares • Aplicar padrões de desenvolvimento, boas práticas e garantir qualidade de código • Participar de codereviews, planejamento de sprints e demais cerimônias ágeis • Contribuir ativamente para a melhoria contínua de processos, arquitetura e cultura do time

Role Description We are looking for a Senior Software Engineer to join our fast-paced, dynamic environment. You will work alongside a high-performing team to design, build, and scale modern cloud-based applications while contributing to technical excellence and high-quality software delivery. This project focuses on building and maintaining scalable, cloud-native platforms while ensuring high code quality, system performance, and seamless collaboration across distributed teams. Qualifications - BS/MS in Computer Science, Information Technology, or related field - 5+ years of experience in software development - Strong proficiency in C# (.NET Framework / .NET Core) and JavaScript/TypeScript - Hands-on experience with Angular (v17 or later preferred) - Strong experience with Azure services including AKS, CosmosDB, KeyVault, Blob Storage, Event Grid, and Azure Pipelines - Experience using GitHub for version control and CI/CD pipelines - Familiarity with Infrastructure as Code (Terraform) - Hands-on experience with Docker, SonarQube, and observability tools such as OpenTelemetry, Dynatrace, or Splunk - Strong understanding of Agile/Scrum methodologies - Experience with microservices architecture and distributed systems - Excellent troubleshooting and problem-solving skills - Excellent communication skills in English (C1 preferred, strong B2 may be considered) Requirements - Design, develop, and maintain scalable and high-performance applications - Contribute to architectural discussions and propose effective technical solutions - Ensure code quality by following best practices such as Clean Code and SOLID principles - Collaborate with cross-functional teams to deliver features efficiently and reliably - Identify and resolve technical issues and production incidents - Support CI/CD processes and contribute to infrastructure automation efforts - Improve system performance, scalability, and observability - Participate in Agile ceremonies and contribute to continuous improvement initiatives - Work closely with team members to ensure successful delivery of project goals Benefits - Certified as a Great Place to Work, offering a supportive and inclusive work culture - Work from home position - Personal and Professional Development Courses & Certifications - Flexible Schedule - 3 Sick Days per year - Birthday Off - Extra Days for Special Occasions - Team Building Meal Reimbursement - Equipment Granted - Monthly Recognitions - High Impact Committees

• Lead and mentor a multi-disciplinary team of vulnerability researchers, scan operations engineers, and software engineers across multiple geographies. • Partner closely with engineering leadership, product managers, and stakeholders across the broader organization to align on scope, timelines, and solution designs. • Drive the continuous improvement of engineering practices, processes, and tools to increase efficiency and product quality. • Oversee the planning, execution, and delivery of product features and updates, ensuring alignment with company goals and timelines. • Implement and maintain agile methodologies for project tracking and documentation. • Champion an AI-first engineering culture across your teams, encouraging the adoption of AI tools and workflows in day-to-day development.