Doxel Logo

Doxel

Full Stack Software Engineer

Reposted 5 Days Ago
Remote
Hiring Remotely in USA
150K-165K Annually
Senior level
Remote
Hiring Remotely in USA
150K-165K Annually
Senior level
As a Full Stack Software Engineer at Doxel, you will design and develop full-stack applications, collaborating cross-functionally to optimize user experiences and facilitate data processing for construction projects.
The summary above was generated by AI
Construction is the second-largest industry in the world—nearly 4x the size of SaaS—yet it still operates without the automated feedback loops that modern software teams rely on. Without real-time observability, issues are detected too late, contributing to over $3 Trillion in annual global waste.

Doxel brings computer vision and AI to construction, giving teams real-time visibility into progress, risk, and execution. From hospitals to data centers, and from field leaders to executive teams, Doxel is used every day to support better decisions and faster delivery. Our platform is trusted by industry leaders including Shell, Genentech, HCA Healthcare, Kaiser, Turner, and Layton.

Doxel’s automated progress tracking solution keeps teams aligned with hard facts that leave no ambiguity on where the project is today, where it will be tomorrow and what decisions need to be made to land it on schedule and on budget. This enables our customers to deliver projects, on average, 11% ahead of schedule with up to 16% savings on monthly cash flow.

Backed by Insight Partners and Andreessen Horowitz and with a rapidly growing team of engineers, scientists, construction veterans, and Enterprise go-to-market teams, we're driven to help our customers win. 

Join us as we continue our journey to transform the $15T Construction Industry!


The Role
As a full stack engineer at Doxel, you will help define and build the next generation of our project management, commissioning, and field-enablement tools—systems trusted by the world’s largest general contractors and owners delivering mega-projects at unprecedented scale.

You’ll help build and deliver full-stack applications that handle massive volumes of complex field data—including videos, images, structured forms, and IoT device outputs—and transform them into fast, intuitive workflows for both office teams and field workers. You’ll architect mobile and web experiences that make capturing, reviewing, and acting on this data effortless in environments where reliability, speed, and clarity matter.

You’ll partner closely with product, design, backend, CV/ML, and platform engineering teams to turn Doxel’s AI and data systems into beautifully executed user experiences. You’ll provide technical leadership end to end shipping 0-1 projects, as well mentoring and coaching across engineering on best practices. 

Your Day to Day

  • 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

What Success Looks Like

  • 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

What You Bring

  • 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

Preferred Experience

  • 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

Benefits & Company Culture

  • Competitive Base Salary + Equity Package
  • Remote first culture (for most roles)
  • Comprehensive Health Insurance (Medical, Dental, Vision)
  • Home Office Stipend
  • Monthly allowance for cell phone and internet
  • Flexible PTO, generous company holiday policy, and unlimited sick days

​​Pay is based on a variety of factors such as location, skill level, qualifications, competencies, and overall experience.

Doxel is an equal opportunity employer and actively seeks diversity at our company. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Top Skills

AWS
Azure
BigQuery
Databricks
GCP
Java
Next.Js
Nuxt.Js
Python
Redshift
Snowflake
Three.Js
Typescript
HQ

Doxel Redwood, California, USA Office

805 Veterans Blvd Suite, #103, Redwood, CA, United States, 94063

Similar Jobs

3 Days Ago
Remote or Hybrid
179K-225K Annually
Mid level
179K-225K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
The Lead Software Engineer will manage diverse tech projects, develop cloud solutions, mentor engineers, and collaborate with product managers to enhance customer experiences.
Top Skills: AWSCSSDockerGoGCPHTMLJavaJavaScriptKubernetesAzurePythonSQLTypescript
4 Days Ago
Easy Apply
Remote
United States
Easy Apply
169K-240K Annually
Senior level
169K-240K Annually
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services
As a Senior Software Engineer in ZT1, you will lead backend system development, manage projects, and influence product direction in a fast-paced, AI-centric environment.
Top Skills: AWSKotlinKubernetesMySQLPythonReactVue
5 Days Ago
In-Office or Remote
147K-230K Annually
Senior level
147K-230K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
The role involves designing, building, and maintaining full-stack features using Ruby on Rails, React, and TailwindCSS, overseeing projects end-to-end, and ensuring code quality and performance through collaboration with product and design teams.
Top Skills: AWSAzureCassandraDynamoDBGaeOraclePostgresReactRuby On RailsSQLTailwindcss

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account