The Role
Lead design and implementation of Doowiis frontend, backend, and data systems. Define architecture, build scalable ingestion and analytics pipelines, optimize storage and query performance, ship AI-driven features (LLM/text-to-SQL, embeddings), improve observability and deployment, and mentor engineers while partnering with product and ML teams.
Summary Generated by Built In
About Doowii
About the Role
What You’ll Work On
Frontend & UX
Backend Systems
Data Interaction Layer
Team Impact
Requirements
Bonus points if you have:
Compensation
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.
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
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.
- 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)
- 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
- 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
- Act as a technical partner to Doowii’s product and leadership teams
- 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
- 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
Compensation
The base pay range for this role is $150,000 – $190,000 per year.
We’re open to adjusting the role level based on your experience and expertise. If you do not fulfill all requirements in the job description, we encourage you to submit your application nonetheless. Doowii employees are required to successfully pass a background check upon being hired.
Why work at Doowii
- Competitive compensation
- New-hire equity grant
- Open PTO policy & company holidays
- Medical, dental, and vision benefits for you and your family
- A mission-driven culture and community
- Remote-work environment
Equal Opportunity
Doowii is an Equal Opportunity Employer and values diversity in our workforce. We believe that a diverse and inclusive workplace fosters innovation, creativity, and collaboration. We do not discriminate based upon race, religion, color, national origin, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, education, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics
To help protect the integrity of our remote hiring process and safeguard access to student and school data, candidates may be asked to complete a brief live identity verification step prior to technical interviews.
Skills Required
- BS in computer engineering (or similar) with substantial experience
- 5+ years of full-stack experience
- Strong frontend expertise (JavaScript/TypeScript, modern frameworks)
- 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
- Experience developing/maintaining ingestion pipelines and analytics infrastructure
- Master's degree in computer engineering
- Experience building data-heavy platforms or analytics products
- Strong product intuition and UX thinking
- Experience with performance optimization
- Hands-on experience with at least two: Kafka or Pub/Sub, Apache NiFi, Airflow, Mage.AI, Beam, Spark, Flink, dbt, Iceberg, ClickHouse
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The Company
What We Do
Doowii is a generative AI data platform built specifically for educators, an AI data scientist that trained for Education data. Doowii enables any educator to get inside their data and derive insightful analytics from their information much more easily
