Senior Software Engineer, Backend

Doowii•Denver, CO

About The Position

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, and identify opportunities to elevate user experience.

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

Nice To Haves

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

Responsibilities

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