Own and iteratively develop the data backbone that powers Recare’s AI products
Ensure that data ingestion, processing, and delivery are reliable, secure, and production-ready
Design, implement, and operate asynchronous processing systems for heavy AI workloads
Define and maintain API contracts and data schemas across producers and consumers
Own data lifecycle primitives including secure storage, sensitive data handling, and retention and deletion semantics
Develop secure service-to-service authentication for cross-system synchronization

Strong foundation in software engineering and high standards for design, testing, code quality, and operations
Deep familiarity with modern AI-native engineering practices
Extensive experience building production-ready data and ingestion systems under real-world reliability constraints
Hands-on experience with asynchronous processing systems (queues, workers)
Experience with AWS and cloud-native architectures, including IAM and encryption
Ability to think in systems and trade-offs and to proactively design for observability, reliability, and performance
Comfortable taking on ambiguous problems and resolving them in collaboration with stakeholders

Senior AI Data Platform Engineer

Key skills