Job description

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

Requirements

Must-haves

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
Mentor engineers and raise engineering standards

Nice-to-haves

Strong full-stack expertise, covering frontend (JavaScript/TypeScript, modern frameworks) and backend skills (Python preferred)

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlllmsqljavascripttypescriptpython

Platform: gem
Effort: medium