Senior Software Engineer, Backend

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

• Design and build scalable backend services, APIs, and platform capabilities that power the Doowii application
• Lead development of high-impact, cross-cutting technical initiatives across application, data, and infrastructure layers
• Design and maintain patterns for integrations, data modeling, reliability, observability, and performance
• Own system performance, monitoring, troubleshooting, and operational excellence
• Improve deployment, testing, and CI/CD workflows to increase engineering velocity and reliability
• Partner with product, frontend, and AI engineers to deliver AI-powered product capabilities

• Guide how data is structured, accessed, transformed, and optimized across the platform
• Influence architecture decisions related to analytics infrastructure, AI systems, and large-scale data processing
• Design and maintain analytical data models to support reporting, natural language querying, and customer-facing analytics
• Optimize storage, compute, and query performance across operational and analytical workloads
• Develop and maintain ingestion and transformation pipelines across multiple systems and data sources
• Support schema evolution, data quality, lineage, and governance requirements as the platform scales

• Build and maintain integrations with customer systems, third-party APIs, identity providers, and external data platforms
• Design services that support AI-powered experiences including retrieval systems, semantic search, vector-based workflows, and LLM-driven product features
• Collaborate with AI engineers to operationalize models, evaluation frameworks, and production AI workflows

• Mentor engineers and elevate engineering standards across architecture, reliability, testing, and operational excellence
• Provide technical leadership on complex engineering initiatives
• Partner closely with product and leadership teams to align technical investments with business objectives
• Contribute to engineering culture through documentation, design reviews, and knowledge sharing

Requirements

• BS in Computer Science, Computer Engineering, Software Engineering, or related field (or equivalent practical experience)
• 5+ years of software engineering experience, primarily focused on backend systems
• Strong proficiency in Python and experience building production backend services and APIs
• Deep experience with SQL, relational databases, and data-intensive applications
• Experience designing and operating distributed systems in production environments
• Experience with cloud infrastructure (AWS, GCP, or Azure) and modern deployment workflows
• Experience designing and maintaining APIs, integrations, authentication systems, and data synchronization workflows
• Experience with observability, monitoring, incident response, and operational reliability practices
• Experience with schema evolution, change data capture (CDC), event-driven architectures, or high-throughput data processing systems
• Bias toward automation, clear documentation, maintainable systems, and rapid iteration in a startup environment
• Experience building, integrating, or operationalizing AI/LLM-powered applications, workflows, or services

• Master's degree in Computer Science, Computer Engineering, Data Engineering, Machine Learning, or a related field
• Experience building analytics platforms, data products, BI systems, or customer-facing reporting solutions
• Experience working with modern data infrastructure and orchestration technologies
• Hands-on with at least two of: Kafka or Pub/Sub, Apache NiFi, Airflow, Mage.AI, Beam, Spark, Flink, dbt, Iceberg/ClickHouse
• Experience implementing retrieval-augmented generation (RAG), semantic search, vector databases, or agent-based systems
• Experience supporting enterprise-scale integrations, SSO (OAuth/SAML), or customer onboarding workflows
• Experience optimizing large-scale data processing, storage, and query performance

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