• Develop and architect the cloud-native Stream Governance platform - a multi-tenant, highly available, and scalable service for Kafka and real-time data. • Own and lead the end-to-end design and implementation of complex backend services within a cloud-native, microservices-based environment. • Drive projects from requirements and design through implementation, rollout, and ongoing operation in production. • Make architecture and technical decisions that thoughtfully balance reliability, scalability, performance, and operability. • Solve complicated technical projects with high quality, provide specialized technical guidance to the team, and mentor/support other engineers through code reviews and design reviews. • Evaluate and enhance the efficiency of our platform's technology stack, ensuring we keep pace with industry trends and adopt state-of-the-art solutions. • Take responsibility for developing, managing, and maintaining a mission-critical service with a 99.99 SLA running across 100+ AWS, GCP, and Azure regions. • Partner across engineering and with other key stakeholders to create and execute the overall roadmap for delivering a top-notch Data Streaming Platform. • Contribute to a culture of continuous improvement, inclusive collaboration, and high technical standards.

• Taking ownership of the software architecture, components, and interfaces • Owning the requirements for the software sub-system • Being responsible for implementation of the Flight software modules (Sub-system) • Being responsible for writing clean unit tests • Collaborating with other teams (e.g. Avionics, GNC, Propulsion) to ensure seamless integration of the software into the test framework • Being responsible for integrated tests (with Hardware and Simulated) • Actively participating in system-level tests and provide support for troubleshooting and resolving integration issues

• Definir e evoluir a arquitetura de software: separação de serviços, contratos de API, padrões de persistência, mensageria assíncrona e estratégias de integração; • Liderar tecnicamente a equipe de desenvolvimento (back-end, front-end e integrações), com mentoria, code review e definição de padrões; • Projetar integrações resilientes com APIs externas e sistemas legados, aplicando padrões de retry, idempotência, circuit breaker, outbox e desacoplamento via Kafka/RabbitMQ; • Atuar em conjunto com o Especialista de IA para definir contratos de serving de modelos (APIs FastAPI, MLflow, vLLM) e garantir SLAs de inferência; • Garantir conformidade com requisitos transversais: LGPD (anonimização, ambientes com dado sintético), audit trail em storage WORM, segurança de perímetro (WAF, API Gateway, DMZ); • Estabelecer práticas de engenharia: testes automatizados, CI/CD, observabilidade (logs, métricas, tracing), gestão de configuração e secrets; • Apoiar PM/PO na quebra de épicos, estimativas, definição de critérios de aceite e gestão de dívida técnica; • Interfacear com a equipe de infraestrutura on-premise (Kubernetes, GPU pass-through, storage, redes); • Documentar decisões arquiteturais (ADRs) e racional técnico das escolhas relevantes.

• Help train large language models (LLMs) to write production-grade code across a wide range of programming languages • Compare and rank multiple code snippets, explaining which is best and why • Repair and refactor AI-generated code for correctness, efficiency, and style • Inject feedback (ratings, edits, test results) into the RLHF pipeline and keep it running smoothly