Teams at Lutra

Lead and/or staff-level technical roles to design, build, and operate petabyte-scale batch and streaming data pipelines, APIs, and analytical platforms. Responsibilities include platform architecture, data modeling, query and API design, reliability, observability, performance optimization, cross-team coordination, and mentoring engineers through a transformation to workload-aware, near real-time data systems.

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.