SeniorSoftwareEngineer-DataPlatform

## Accountabilities Design, build, and maintain core data platform services including APIs, ingestion pipelines, internal tools, and customer-facing data products. Develop and operate distributed systems that integrate data sources, infrastructure, and AI-driven applications at scale. Build robust data processing systems capable of handling messy, incomplete, and evolving real-world datasets. Manage cloud-native infrastructure and deployment systems across environments such as AWS or GCP. Improve platform reliability, observability, performance, and developer experience across engineering workflows. Collaborate closely with product, research, and infrastructure teams to deliver scalable platform capabilities. Contribute to architectural decisions that support long-term scalability and maintainability of the data platform. Requirements: 5+ years of experience in backend, platform, infrastructure, or data-intensive software engineering roles. Strong programming skills in Go, Python, Rust, or similar backend languages. Solid understanding of distributed systems, APIs, cloud infrastructure, and data processing architectures. Proven ability to take ownership of complex, ambiguous problems from design to production. Strong analytical and debugging skills with experience diagnosing production system issues. Experience working with cloud platforms such as AWS or GCP. Familiarity with CI/CD pipelines, event-driven systems, and scalable data architectures. Strong communication skills and ability to collaborate across technical and product teams. Experience with machine learning or AI data infrastructure is a strong plus. Benefits: Fully remote role based in Brazil with flexible working arrangements Competitive compensation with equity participation High ownership environment with direct impact on core AI infrastructure Opportunity to work on large-scale, real-world data systems powering production AI Lean, high-caliber engineering team with strong technical culture Flexible t