Senior Full Stack Software Engineer

Doxel is a company that leverages computer vision and AI to transform the construction industry. As a Senior Full Stack Software Engineer, you will be responsible for designing and developing applications that enhance project management and data capture, ensuring efficient workflows for field teams and office personnel.

Responsibilities:

• Designing and developing full-stack applications powering project management, commissioning workflows, and data capture
• Building web and mobile tools for field teams to upload videos, images, structured forms, IoT readings, and issue documentation
• Developing intuitive, high-performance UIs that handle complex data streams and large-scale datasets
• Working on backend services and APIs that support rapid data ingestion, processing, and review at enterprise scale
• Collaborate cross-functionally with backend, CV/ML, product, design, and 3D visualization teams to deliver seamless end-to-end features
• Managing individual project priorities, deadlines and deliverables
• Designing and implementing new user-facing features in Doxel’s products
• Optimizing web applications to maximize speed and scale
• Collaborating cross-functionally with backend, CV/ML, product, design, and 3D visualization teams to deliver seamless end-to-end features
• Contributing to technical planning, feature roadmaps, and long-term architectural decisions for Doxel’s applications ecosystem
• Championing usability and field readiness ensuring tools are simple, fast, and resilient in tough real-world construction environments

Requirements:

• 8+ years of experience building and shipping full-stack web and mobile applications
• Expertise with modern full-stack frameworks (e.g., Nuxt.js, Next.js, or similar)
• Strong engineering experience with Typescript, Python or Java, and APIs
• Experience developing applications that handle large-scale multimodal datasets (3d components, videos, images) and/or IoT data inputs
• Strong familiarity with cloud environments (AWS, GCP, or Azure) and containerized infrastructure
• Experience working with a team to design domain-driven data models and working with OLTP/OLAP system
• Experience with data warehousing tools such as Redshift, Snowflake, Databricks, or BigQuery
• Background with offline-capable architectures and mobile-first data collection tools
• Experience with 3D visualization (three.js), geospatial data, or computer-vision-powered experiences
• Exposure to ML/AI-driven feature development
• Comfort with CI/CD pipelines, observability tooling, and automated testing best practices