You will design and improve data models, access patterns, and schemas for critical backend services while evaluating data store approaches. Additionally, you will build reliable data evolution tooling and partner with cross-functional teams to ensure data lifecycle management and production readiness.
You will modernize critical production systems by improving Python backend services, APIs, and asynchronous data pipelines. The role involves collaborating with engineering leadership to ensure reliable request routing, authentication, and operational automation.
Design and implement scalable backend services, internal APIs, and durable operational workflows to support platform configuration. Collaborate with cross-functional teams to evolve layered configuration models and ensure secure, reliable system performance.
The specialist will deliver interactive professional development and training sessions to educators and administrators both virtually and onsite. They are also responsible for maintaining session documentation and providing ongoing support to customers regarding Seesaw features.
