[Remote] Senior Software Engineer, Backend
Note: The job is a remote job and is open to candidates in USA. Doowii, Inc is building a conversational analytics platform for education, enabling non-technical users to query complex datasets using natural language. The Senior Software Engineer role focuses on technical leadership and building core systems that power the Doowii platform, with responsibilities including system architecture, backend service development, and data infrastructure optimization.
Responsibilities
- 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
- 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
Skills
- 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
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