3 months ago
Responsibilities
- Design, build, deploy, and operate full-stack internal web applications for business stakeholders.
- Develop production AI- and LLM-powered features, including classification, extraction, summarization, copilots, and agentic workflows.
- Own application infrastructure on GCP, including App Engine, Cloud Run, GKE, authentication, monitoring, debugging, and application security.
- Define the internal application product portfolio, determine when custom applications are appropriate, and create reusable building blocks.
- Collaborate with stakeholders, analytics engineers, and data engineers on requirements, data models, and platform constraints.
Requirements
- 5+ years of experience building production software, including meaningful experience with full-stack web applications.
- Strong Python experience with APIs, data access patterns, packaging, and testing, using FastAPI, Flask, or similar technologies.
- Experience with TypeScript and React or comparable frontend frameworks, including component design and interactive data interfaces.
- Hands-on experience with GCP application services including App Engine, Cloud Run, GKE, and IAM.
- Strong SQL skills and experience with cloud data warehouses, particularly BigQuery, including query cost awareness and application data-access-layer design.
- Production experience developing and deploying AI- and LLM-powered applications, including prompt design, structured output, evaluation, and cost and latency tradeoffs.
- Experience operating production software with logging, monitoring, error handling, debugging, observability, secure application design, and automated testing.
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
- Preferred experience includes AI-native applications, LLM provider APIs, agent frameworks, managed AI/ML platforms, dbt, Airflow, Terraform, data-heavy user interfaces, and being the first or only application engineer on a data team.
Tech Stack
Categories
About DDN
DDN builds high-performance data storage and data management systems for AI, machine learning, and high-performance computing workloads used by enterprises, research institutions, and governments. It sells appliance hardware and software (including parallel file systems and AI data platforms) along with support and professional services. Founded in 1998 and headquartered in Chatsworth, California, the privately held company reports serving over 11,000 organizations worldwide.