Full-Stack Software Engineer

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