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Senior Software Engineer, Full-Stack

Doowii

Worldwide$150k–190kRemote1mo ago
Employment
Full-time
Seniority
Senior

About the role

About Doowii

About the Role

  • 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

  • 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

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
  • 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

  • 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

Perks & benefits

  • Vision Insurance
  • Paid Time Off
  • Equity Compensation

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