Full-Stack Software Engineer

About DoowiiDoowii 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 RoleThis 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 questionsmodel evaluation and improvement to improve responses to those questionssystems configuration and optimization to support our responsesdata structure and analysis so answers are returned accurately and quicklyWhat You'll Work OnDoowii 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 & UXBuild interfaces for querying and exploring dataTranslate complex workflows into simple user experiencesDesign 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 SystemsDevelop APIs that power real-time data interactionsEnsure performance and scalability of user-facing systemsConfigure and manage Doowii’s cloud platforms (AWS, GCP)Data Interaction LayerOptimize how queries are executed and results returnedDesign and maintain data models (star, wide-table, or Iceberg-native) to support real-time and batch analyticsOptimize storage + query performance; keep infra costs leanDevelop and maintain ingestion pipelines (NiFi 2.0 → Kafka → Iceberg → BigQuery) end-to-endRequirementsBS in computer engineering (or similar field with 6+ years of experience)3+ years of full-stack experienceStrong frontend skills (JavaScript/TypeScript, modern frameworks)Backend experience (Python preferred)Experience with APIs and SQLExperience with schema evolution, CDC, and high-throughput streamingBias for automation, clear documentation, and fast iteration in a startup environmentBonus points if you have:Masters in computer engineeringExperience with AI model/agent development and LLM evaluationExperience building data-heavy or analytics productsStrong product intuition and UX thinkingExperience with performance optimizationHands-on with at least two of: Kafka or Pub/Sub, Apache NiFi, Airflow, <Mage.AI>, Beam, Spark, Flink, dbt, Iceberg/ClickHouse