Full Stack Software Engineer

Doxel is transforming the construction industry by leveraging computer vision and AI to provide real-time visibility into project progress and execution. As a Full Stack Software Engineer, you will design and develop applications that manage complex field data and collaborate with various teams to enhance user experience and project management tools.

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
• 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:

• 5+ 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