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Senior Full Stack Software Engineer

4 months, 2 weeks ago
Anywhere
Full-time
Lead
Full-stack Engineer
Software Development
AWS Azure CI/CD Computer Vision Databricks GCP Java Machine Learning Next.js Nuxt.js Python Snowflake Three.js TypeScript
Apply Now
Doxel

Doxel

Doxel revolutionizes construction progress tracking with AI and machine learning, providing executives with actionable insights and simplifying field operations.

Construction & Engineering
51-250
Founded 2016
$56M raised
View All Jobs 8

Description

  • Design and develop full-stack applications for project management, commissioning workflows, and data capture.
  • Build web and mobile tools for field teams to upload videos, images, structured forms, IoT readings, and issue documentation.
  • Develop intuitive, high-performance user interfaces that handle complex data streams and large-scale datasets.
  • Work on backend services and APIs that support rapid data ingestion, processing, and review at enterprise scale.
  • Partner with backend, CV/ML, product, design, and 3D visualization teams to deliver end-to-end features.
  • Manage individual project priorities, deadlines, and deliverables.
  • Contribute to technical planning, feature roadmaps, and long-term architectural decisions.
  • Optimize web applications for speed, scale, usability, and field readiness.
  • Provide technical leadership on 0-1 projects and mentor engineers on best practices.

Requirements

  • 8+ years of experience building and shipping full-stack web and mobile applications.
  • Experience with modern full-stack frameworks such as Nuxt.js or Next.js, or similar.
  • Strong engineering experience with TypeScript, Python, or Java, and APIs.
  • Experience developing applications that handle large-scale multimodal datasets, including 3D components, videos, images, and/or IoT data inputs.
  • Strong familiarity with cloud environments such as AWS, GCP, or Azure.
  • Experience with containerized infrastructure.
  • Experience designing domain-driven data models and working with OLTP/OLAP systems.
  • Preferred experience with data warehousing tools such as Redshift, Snowflake, Databricks, or BigQuery.
  • Preferred background in offline-capable architectures and mobile-first data collection tools.
  • Preferred experience with 3D visualization, geospatial data, or computer-vision-powered experiences.
  • Preferred exposure to ML/AI-driven feature development.
  • Preferred comfort with CI/CD pipelines, observability tooling, and automated testing best practices.

Benefits

  • Competitive base salary of $180,000 - $200,000 per year.
  • Equity package.
  • Remote-first culture for most roles.
  • Comprehensive health insurance, including medical, dental, and vision.
  • Home office stipend.
  • Monthly allowance for cell phone and internet.
  • Flexible PTO.
  • Generous company holiday policy and unlimited sick days.

Interested in this position?

Apply directly on the company website

Apply Now

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