Senior Data AI Application Engineer

This is an incredible opportunity to be part of a company that has been at the forefront of AI and high-performance data storage innovation for over two decades. DataDirect Networks (DDN) is a global market leader renowned for powering many of the worlds most demanding AI data centers in industries ranging from life sciences and healthcare to financial services autonomous cars Government academia research and manufacturing.

DDNs A3I solutions are transforming the landscape of AI infrastructure. IDC

The real differentiator is DDN. I never hesitate to recommend DDN. DDN is the de facto name for AI Storage in high performance environments - Marc Hamilton VP Solutions Architecture & Engineering NVIDIA

DDN is the global leader in AI and multi-cloud data management at scale. Our cutting-edge data intelligence platform is designed to accelerate AI workloads enabling organizations to extract maximum value from their data. With a proven track record of performance reliability and scalability DDN empowers businesses to tackle the most challenging AI and data-intensive workloads with confidence.

Our success is driven by our unwavering commitment to innovation customer-centricity and a team of passionate professionals who bring their expertise and dedication to every project. This is a chance to make a significant impact at a company that is shaping the future of AI and data management.

Our commitment to innovation customer success and market leadership makes this an exciting and rewarding role for a driven professional looking to make a lasting impact in the world of AI and data storage.

Were looking for a Senior Software Engineer to build internal applications on top of DDNs enterprise data platform. This is a largely greenfield charter a new function dedicated to full-stack tools and AI-powered services for GTM Finance Support and Product. We are building applications that surface data for decision-making and applications that improve and automate the operational processes that run the business. Youll have early prototypes to learn from but the mandate is to define this product portfolio and build it out. Data and analytics engineers own whats underneath; the applications themselves frontend backend deployment model integration are yours.

• Internal applications design build and operate full-stack web apps (FastAPI/Flask React/TypeScript today but technology choices are open) that put data and AI into stakeholders hands both as decision-support interfaces and as purpose-built tools that let them do operational work
• AI/LLM integration build features powered by LLMs and ML classification extraction summarization copilots agentic workflows choosing whichever models providers and frameworks fit the problem
• Application infrastructure deploy and operate apps on GCP (App Engine Cloud Run GKE) connect them to the data platform manage auth own CI/CD and app security
• Product surface define what good looks like for this new function: which problems are worth a custom app vs.a BI dashboard what our reusable building blocks should be and how we ship reliable observable services people depend on
• Collaboration partner with stakeholders to scope the right tool for the job with analytics engineers to shape the underlying data models and with data engineers on platform constraints

• 5 years building production software with meaningful time spent on full-stack web applications
• Strong Python APIs (FastAPI Flask or similar) data access patterns packaging testing
• TypeScript/React (or comparable framework) component design interactive data UIs
• Hands-on experience with GCP application services App Engine Cloud Run GKE IAM
• Strong SQL and comfort working with cloud data warehouses (BigQuery in our case) you can write a query understand its cost and design an apps data access layer around it
• Experience developing and deploying AI/LLM-powered applications in production prompt design structured output evaluation cost/latency tradeoffs awareness that the model and tooling landscape changes quickly
• Experience operating what you ship logging monitoring error handling debugging in production
• Experience with software engineering best practices: CI/CD automated testing observability secure application design
• Bachelors degree in Computer Science Engineering or equivalent practical experience

• Experience building AI-native applications such as text-to-SQL interfaces copilots agentic workflows or automated insight-generation systems
• Hands-on experience with one or more LLM provider APIs (Anthropics Claude OpenAI Google open-weight models etc.) and agent frameworks (Claude Agent SDK LangGraph or similar)
• Experience with managed AI/ML platforms (Vertex AI SageMaker or similar) model serving embeddings evaluation tooling
• Familiarity with dbt and modern data warehouse patterns from a consumers perspective
• Experience with Airflow for triggered jobs and background work
• Familiarity with Terraform for managing application infrastructure
• Background designing data-heavy UIs tables drill-downs large result sets interactive exploration
• Prior experience as the first or only application engineer on a data team comfort owning the full lifecycle

Salary Range for this role: $185000 - $200000

DDN has a very strong orientation towards these 4 characteristics and any successful employee will demonstrate these capabilities:

Self-Starter - Takes independent action to identify and solve problems. Seeks out relevant information needed to make decisions. Gets involved with new initiatives.

Success/Achievement Orientation - Delivers quality results consistently. Targets achieves (or exceeds) measurable results. Sets challenging goals focuses on critical priorities and is accountable.

Problem Solving - Recognizes problems and responds with a systematic assessment that identifies and addresses cause of issue. Practical realistic and resourceful.

Innovative - Builds and improves key business processes that enhance the effectiveness of DDN. Generates new ideas challenges the status quo and solves problems creatively.

DataDirect Networks Inc. is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race color religion gender gender identity gender expression transgender sex stereotyping sexual orientation national origin disability protected Veteran Status or any other characteristic protected by applicable federal state or local law.

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