• Consegue propor o melhor tipo de arquitetura para criação de pipeline de dados com base em um problema pré definido (ex: arquitetura lambda, arquitetura kappa, ETL, Scrapping, etc); • Tem conhecimento avançado de cloud computing e consegue defender as melhores peças de infraestrutura para um problema proposto (ex: Kubernetes, VMs, ECS, etc); • Consegue identificar e propor otimizações para problemas de performance em alguma etapa da arquitetura de dados (ex.: clusters de Spark, clusters de Kafka, bancos de dados, etc); • Capacidade de atuar em incidentes complexos, implementar monitoramentos e propor soluções que resolvam o problema na causa raiz.

• Able to propose the most appropriate architecture for building data pipelines based on a defined problem (e.g., Lambda architecture, Kappa architecture, ETL, scraping, etc.) • Advanced knowledge of cloud computing and able to recommend the most suitable infrastructure components for a given problem (e.g., Kubernetes, VMs, ECS, etc.) • Capable of identifying and proposing optimizations for performance issues at any stage of the data architecture (e.g., Spark clusters, Kafka clusters, databases, etc.) • Able to handle complex incidents, implement monitoring, and propose solutions that address root causes.

• Contribute to and evolve our cloud infrastructure across compute, storage, networking, IAM and security controls • Build and maintain CI/CD pipelines across a mixed TypeScript and Python codebase • Operate and improve our primary data stores — relational and graph databases • Design and implement data pipelines that move, transform and validate data across the platform • Implement observability — structured logging, distributed tracing and alerting • Contribute to security and compliance posture across services • Build internal developer tooling that makes iteration fast and safe • Support deployment and scaling of research workloads including GPU-based training runs

Role Description We are currently recruiting for an experienced, hands-on Platform Engineer to help shape our infrastructure, improve system reliability, accelerate product development, and improve release cadence. The focus of this position is the design and operation of the data and infrastructure platform that our product and research teams build on. You will work closely with the platform team on critical infrastructure components and help scale the platform as the team and product grow. Tasks - Contribute to and evolve our cloud infrastructure across compute, storage, networking, IAM and security controls - Build and maintain CI/CD pipelines across a mixed TypeScript and Python codebase - Operate and improve our primary data stores — relational and graph databases - Design and implement data pipelines that move, transform and validate data across the platform - Implement observability — structured logging, distributed tracing and alerting - Contribute to security and compliance posture across services - Build internal developer tooling that makes iteration fast and safe - Support deployment and scaling of research workloads including GPU-based training runs Qualifications - Solid hands-on experience with a major cloud provider — GCP preferred - Strong infrastructure-as-code practice — Terraform or Pulumi - Experience operating Postgres in production - Proficiency in CI/CD design and multi-environment deployments - Comfort working across TypeScript and Python codebases - Security-first mindset Requirements - Nice to have: - Experience with graph databases - Familiarity with data pipeline tooling - Experience running GPU workloads on cloud infrastructure - Exposure to geospatial or domain-specific data formats Benefits - Work on a greenfield platform with direct research and product impact - Close collaboration with a small, senior engineering and AI team - Potential for continued growth and expanded responsibility - Flexible remote setup