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.
What You'll Do
- Design and developing services and pipelines that support rapid data ingestion, processing, and review at enterprise scale
- Design and develop services that enable realtime collaboration and data-gathering in the field
- Build AI based features that are incorporated into our product
- Collaborate cross-functionally with generalist and specialist engineers, Product, Design, Customer Success, and Operations to deliver seamless endt o-end features
What Success Looks Like
- Managing individual project priorities, deadlines and deliverables
- Successfully launching and optimizing new user-facing features in Doxel’s products
- Contributing to technical planning, feature roadmaps, and long-term architectural decisions for Doxel’s applications ecosystem
- Understanding our customers and championing their priorities
What You Bring
- 8+ years of experience building and shipping backend systems in an SOA and/or EDA environment
- Expertise with modern backend technologies and infrastructure, such as Function as a Service and Infrastructure as Code
- Expertise in data processing and stream technologies
- Expertise in various database and data storage technologies
- Strong familiarity with cloud environments (AWS, GCP, or Azure) and containerized infrastructure
Preferred
- Experience with data warehousing tools such as Redshift, Snowflake, Databricks, or BigQuery
- Experience with 3D visualization or computer-vision-powered experiences
- Exposure to ML/AI-driven feature development
- Comfort with CI/CD pipelines, observability tooling, and automated testing best practices
Skills Required
- 3+ years of experience in Python, C++, TypeScript, or a functional programming language
- 2+ years of backend or full-stack engineering within an agile, cloud-based environment
- 1+ year of experience working with ETL pipelines and workflow orchestration tools like Airflow
- Experience with Kubernetes and cloud infrastructure
- Strong SQL expertise with deep knowledge of query optimization and table structures, including experience with PostgreSQL
- Experience with test-driven development and automated testing strategies
- Bachelor's degree in Computer Science or a related technical field
- Experience with Wasm and its applications in local-first data processing
- Exposure to computer vision (CV) or machine learning (ML) development
What We Do
Landing a construction project on schedule and on budget is a herculean task– different teams, different designs, every single time. With hundreds of thousands of variables changing everyday, optimizing construction outcomes has become a massive challenge. Doxel is here to change that. Doxel is an AI Powered Project Controls solution. By contextualizing vast amounts of disparate project data across site, BIM, schedule, and budget, Doxel empowers teams with an objective view of their project today and an accurate prediction of where it will be tomorrow. Leveraging machine generated and prioritized risk analysis, teams are guided to the right problems in order to stay ahead of cost overruns and schedule delays. Backed by Insight Partners and Andreessen Horowitz and with a growing team of technologists, creatives, and industry veterans, we're focused on helping customers realize the best outcomes on their construction projects.
