• Take ownership of the end-to-end fullstack development process of various types of user-facing applications. • Communicate with and create solutions for internal and external stakeholders. • Optimize applications to provide top-level performance and user experience. • Create reusable tools that accelerate the development of new applications. • Collaborate with a cross-functional team of developers, data scientists, product managers, designers, and operation teams to create impactful products.

• Architect and develop large-scale real-time data processing systems using Apache Flink • Design highly reliable, low-latency distributed systems capable of handling high-throughput workloads • Write production-grade code in Java and/or Rust • Lead system design discussions and define engineering standards and best practices • Own scalability, performance optimization, reliability, and observability across services • Mentor engineers and elevate the technical quality of the team • Collaborate closely with product and security stakeholders to translate requirements into resilient technical solutions • Drive long-term architectural decisions and contribute to technical roadmap planning

• As a Software Engineer, you join the team responsible for building and maintaining “Gini”, the best AI assistant for geospatial analytics. • Your daily work will include thinking, defining, and implementing technical solutions that will allow Gini to seamlessly interact with our unique and proprietary datasets to answer complex customer queries intelligently and securely. • Building robust RAG pipelines: Designing systems that accurately retrieve data from our massive datasets to provide the LLM with the right context, avoiding hallucinations. • Optimizing for scale and speed: Designing for datasets one order of magnitude higher than most companies. • Picking the right tool for new problems: Running predictions at scale, generating user-time OLAP insights, and integrating cutting-edge AI frameworks into a stable production environment.

• Provide technical support for students over an online community forum • Answer questions around course content over the forum and facilitate content for students who get stuck in learning • Host one weekly live virtual session to offer direct, real-time support to students. • Redirect learners to appropriate support channels and escalate issues to the Mentor Operations team when needed