Senior 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 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
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.