• Define technical requirements in partnership with product, business, and engineering stakeholders • Design, develop, and maintain Python-based applications & services that power core platform workflows • Build and integrate scalable APIs and microservices for internal and external consumers • Own backend system design for service reliability, scalability, maintainability, and operational excellence • Optimize performance using distributed technologies (e.g., caching, message queues, event-driven architectures) • Implement robust observability (logging, tracing, metrics), troubleshoot production issues, and improve system resiliency • Participate in code reviews as both a contributor and reviewer; contribute to engineering standards and best practices • Collaborate closely with development, QA, and business teams to deliver high-quality releases • Create and maintain system and technical documentation as needed • Leverage AI-powered development tools to improve productivity, code quality, and delivery speed • Build and productionalize LLM-enabled features (e.g., workflow automation, intelligent routing, summarization, extraction) • Design tool/function-calling services and orchestration layers for multi-step tasks • Implement RAG-style retrieval patterns (embeddings, vector search, ranking) where it improves reliability and accuracy • Develop evaluation and quality frameworks for AI outputs (offline evals, regression tests, safety/reliability checks) • Collaborate on responsible AI practices: guardrails, data handling, deterministic behaviors, and auditability

• Design, develop, document and support application solutions with a focus on S/4HANA ABAP and ABAP Cloud. • Develop using the various clean core extensibility models of key-user, developer and side-by-side. • Contribute to the migration of multiple large ECC systems to one unified S/4 HANA system. • Participate in establishing enterprise-wide standards for application development and integration including S/4 clean core development techniques. • Assess and optimize the performance of new and existing programs. • You will work on the entire software development lifecycle including documentation and project artifacts.

• Kubernetes Deep-Dive: Work intimately with Kubernetes internals to push the boundaries of container orchestration. • Go Development: Write high-performance, resilient Go code to power the core logic of the vCluster platform. • End-to-End Ownership: Take full ownership of your work. You are self-driven and capable of managing feature development from technical design to release without needing constant oversight. • Open Source Innovation: Engage with the community and contribute to our open-source projects. You will help define the next generation of tenancy models, creating scalable solutions for isolation and resource sharing beyond simple namespaces. • Technical Problem Solving: Tackle hard engineering challenges where the solution isn't always on ChatGPT, requiring a deep understanding of systems architecture.

• Be a technical expert on all aspects of Snowflake in relation to the AI/ML workload • Build, deploy and ML pipelines using Snowflake features and/or Snowflake ecosystem partner tools based on customer requirements • Work hands-on where needed using SQL, Python, and APIs to build POCs that demonstrate implementation techniques and best practices on Snowflake technology for GenAI and ML workloads • Follow best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own • Maintain deep understanding of competitive and complementary technologies and vendors within the AI/ML space, and how to position Snowflake in relation to them • Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments • Provide guidance on how to resolve customer-specific technical challenges • Support other members of the Services Delivery team develop their expertise • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing