Teams at Lutra

Design and develop enterprise integrations and backend services using C#, .NET, and Azure Integration Services. Build an Azure-native integration platform using serverless, event-driven, and asynchronous messaging patterns. Provide technical direction and mentorship, collaborate across infrastructure, software, product, and security teams, and improve platform reliability, observability, CI/CD, automation, and documentation. Support modernization across on-premises .NET, MuleSoft, and Azure technologies while exploring AI-assisted engineering practices.

Design and lead end-to-end architectures for production machine-learning systems at extraordinary scale. Responsibilities span data preparation, feature generation, model delivery, deployment, hosting, inference, monitoring, performance optimization, and technical design. The role establishes engineering standards, influences ML architecture, and collaborates across data science and software engineering to build reliable, maintainable systems for high-volume, low-latency workloads.

Design and operate globally distributed database systems across bare-metal and cloud environments. Lead reliability, performance, automation, observability, incident response, capacity planning, security, and database change management. Establish technical direction, simplify the infrastructure footprint, develop data-platform roadmaps, troubleshoot complex distributed-system failures, and mentor engineers across teams.