Doowii

Lead architectural design and development of core systems, mentor staff, and ensure system scalability and performance. | Bachelor's degree with over 10 years experience, strong full-stack skills, cloud infrastructure knowledge, and AI/LLM integration experience required. | 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 individual contributor role is a technical leadership opportunity focused on building the core systems that power Doowii. Applicants must demonstrate technical mastery, architectural skills, mentoring abilities, and independence. You’ll be tackling opportunities and projects core to the Doowii interface and backend: * define architecture * lead development projects and make critical technical decisions * ensure the system scales across customers, data, and use cases * identify opportunities to elevate user experience 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 * Lead development of high-impact, cross-cutting features * Resolve ambiguous problems with incomplete information * 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 * Design scalable systems across application, data, and infrastructure layers * Define patterns for integrations, data modeling, and performance * Own system performance, observability, and reliability * Improve deployment and operational workflows DATA INTERACTION LAYER * Guide how we structure, access, and optimize data * Influence decisions around analytics infrastructure and AI integration * Design and maintain data models (star, wide-table, or Iceberg-native) to support real-time and batch analytics * Optimize storage + query performance * Develop and maintain ingestion pipelines (NiFi 2.0 → Kafka → Iceberg → BigQuery) end-to-end TEAM IMPACT * Mentor engineers and raise engineering standards * Act as a technical partner to Doowii’s product and leadership teams REQUIREMENTS * BS in computer engineering (or similar field with 10+ years of experience) * 5+ years of full-stack experience * Strong full-stack expertise, covering frontend (JavaScript/TypeScript, modern frameworks) and backend skills (Python preferred) * Deep experience with cloud infrastructure * 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 * Experience with AI model/agent development and LLM evaluation BONUS POINTS IF YOU HAVE: * Masters in computer engineering * Experience building data-heavy platforms 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

Build and optimize core product experience including user interfaces and backend systems for real-time analytics, collaborating with cross-functional teams to integrate AI features and maintain scalable data infrastructure. | Bachelor's degree with 6+ years experience including 3+ years full-stack development, strong frontend frameworks, Python, SQL, and cloud data streaming architectures. | 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