[Hiring] Full-Stack Software Engineer @Doowii

Role Description

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

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.

What You’ll Work On

• 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

Qualifications

• 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

Requirements

• 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