Software Engineer, Full-Stack

### **About Doowii**

Doowii is building a conversational analytics platform for education. We enable non-technical users to query complex datasets using natural language, accelerating decision making, data exploration, and intervention planning. Doowii sits at the intersection of data infrastructure, AI, and education.

### **About the Role**

This role is focused on building the **core product experience** for Doowii users. You’ll be tackling opportunities and projects core to the Doowii interface and backend:

• users asking questions
• model evaluation and improvement to improve responses to those questions
• systems configuration and optimization to support our responses
• data structure and analysis so answers are returned accurately and quickly

### **What You’ll Work On**

Doowii engineering is critical in the end-to-end development of the Doowii platform, applications, and systems, from designing the user interface to managing our systems and infrastructure.

**Frontend & UX**

• Build interfaces for querying and exploring data
• Translate complex workflows into simple user experiences
• Design and implement user interfaces (UI) and user experiences (UX)
• Partner with ML, product, and frontend engineers to ship AI-driven features (LLM text-to-SQL, embeddings, feature stores, LLM-driven data modeling)

**Backend Systems**

• Develop APIs that power real-time data interactions
• Ensure performance and scalability of user-facing systems
• Configure and manage Doowii’s cloud platforms (AWS, GCP)

**Data Interaction Layer**

• Optimize how queries are executed and results returned
• Design and maintain data models (star, wide-table, or Iceberg-native) to support real-time and batch analytics
• Optimize storage + query performance; keep infra costs lean
• Develop and maintain ingestion pipelines (NiFi 2.0 → Kafka → Iceberg → BigQuery) end-to-end

### **Requirements**

• BS in computer engineering (or similar field with 6+ years of experience)
• 3+ years of full-stack experience
• Strong frontend skills (JavaScript/TypeScript, modern frameworks)
• Backend experience (Python preferred)
• Experience with APIs and SQL
• Experience with schema evolution, CDC, and high-throughput streaming
• Bias for automation, clear documentation, and fast iteration in a startup environment

*Bonus points if you have:*

• Masters in computer engineering
• Experience with AI model/agent development and LLM evaluation
• Experience building data-heavy or analytics products
• Strong product intuition and UX thinking
• Experience with performance optimization
• Hands-on with at least two of: Kafka or Pub/Sub, Apache NiFi, Airflow, <Mage.AI>, Beam, Spark, Flink, dbt, Iceberg/ClickHouse