Full-Time Staff Software Engineer, Data Platform

• Lead the design and evolution of our data platform from architecture to production with a focus on reliability, cost, and scale
• Drive decisions on data stack and platform standards across teams
• Build and optimize high-performance data services and pipelines (batch and streaming) for large-scale workloads
• Own production operations for file- and event-based systems: monitoring, incident response (on-call), and continuous improvement to meet SLAs
• Mentor engineers through design reviews, code reviews, and hands-on pairing, raise the bar for testing, security, and observability
• Collaborate with partner teams and customers to deliver data products end to end
• Reduce technical debt and simplify systems with clean interfaces and clear patterns

• Strong software engineering background building distributed systems at scale
• Proficiency in Golang or Python
• Familiarity with modern streaming processing (Kinesis, Flink, Spark)
• Cloud computing skills (preferable AWS) and hybrid designs
• Data platform tooling: Terraform (IaC), Docker and Kubernetes (prod) and Airflow (or similar orchestration)
• Observability and SRE mindset: Grafana, CloudWatch (logs, metrics, traces), on-call ownership, SLA thinking
• Strong SQL skills
• Versioning and CI/CD: Git GitHub, pipelines (e.g. Codefresh) or similar
• English: B2 level or above
• Be based in Brazil

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