The Role
Design and build scalable backend systems for Doxel's AI-driven construction platform, ensuring system reliability and collaboration across teams.
Summary Generated by Built In
Construction is the 2nd largest industry in the world (4x the size of SaaS!). But unlike software (with observability platforms such as AppDynamics and Datadog), construction teams lack automated feedback loops to help projects stay on schedule and on budget. Without this observability, construction wastes a whopping $3T per year because glitches aren’t detected fast enough to recover.
Doxel AI exists to bring computer vision to construction, so the industry can deliver what society needs to thrive. From hospitals to data centers, from foreman to VPs of construction, teams use Doxel to make better decisions everyday. In fact, Doxel has contributed to the construction of the facilities that provide many of the products and services you use everyday.
We have classic computer vision, deep learning ML object detection, a low-latency 3D three.js web app, a complex data pipeline powering it all in the background. We’re building out new workflows, analytics dashboards, and forecasting engines.
We’re at an exciting stage of scale as we build upon our growing market momentum. Our software is trusted by Shell Oil, Genentech, HCA healthcare, Kaiser, Turner, Layton and several others. Join us in bringing AI to construction!
The Role:
As a Senior Backend Engineer, your mission is to design, architect and build the resilient and scalable systems that power the intelligence behind Doxel’s AI-driven construction platform. You'll tackle complex infrastructure and data engineering challenges, problems that are affecting doxel’s customers the most. You’ll collaborate closely with our product, frontend, computer vision, and 3D teams to design seamless end-to-end solutions—from field data capture to actionable insights that affect real lives. If you love solving problems that matter to the world at scale and thrive in a fast-paced, mission-driven team—this role is for you.
Who You Are:
You’re a backend engineer with deep curiosity and a strong grasp of building distributed systems. You care about clean, efficient code, resilient infrastructure, and scalable architectures. You’re hungry to solve tough technical problems and improve systems that directly impact the real world—especially in industries like construction where every decision counts.Bonus: you’ve worked on data-heavy platforms or have experience integrating machine learning/computer vision pipelines into production.
What You’ll Do:
- Design, build, and scale robust backend systems and pipelines for data ingestion, processing, and analytics.
- Develop high-performance APIs that power real-time 3D visualizations, dashboards, and mobile tools.
- Build and optimize data pipelines that support models and business logic at scale.
- Collaborate across CV/ML, frontend, design, and product teams to deliver end-to-end features.
- Ensure system reliability, observability, monitoring, and graceful degradation for mission-critical tools.
- Leverage, AI tools, cloud infrastructure, containerization, and CI/CD best practices.
- perform thoughtful code reviews, and drive backend engineering best practices.
What You Bring to Doxel:
- 8+ years of professional experience as a backend or systems engineer.
- Strong proficiency in modern backend languages like Python, Go, or Node.js.
- Have a test driven development approach. You are someone who believes testing is not an afterthought—it's the foundation. You write tests before code, care deeply about code quality, and value software you can trust.
- Experience in designing and maintaining complex systems.
- You will be a leader for an end-to-end product development team and will set the bar for Doxel.
- Experience designing and maintaining scalable APIs and microservices.
- Experience of working with Computer vision algos at scale is a Plus
- Proven track record of building and maintaining data pipelines, ideally with real-world complexity.
- Deep knowledge of distributed systems, asynchronous processing, and message queues
- Experience working with cloud platforms (AWS/GCP/Azure) and containerized environments (Docker, Kubernetes).
- Comfortable with CI/CD, monitoring, testing, and automation.
- Excellent debugging, profiling, and system design skills.
- Great communicator and collaborator; able to break down complex problems clearly.
- Bonus: experience working with computer vision models, 3D data, or unstructured media pipelines.
Perks & Benefits:
- Comprehensive health, dental, and vision insurance for you and your family
- Unlimited PTO + flexible work environment
- Generous parental leave
- Opportunity to work at the cutting edge of AI and real-world impact
- A culture that values autonomy, ownership, and meaningful engineering
Doxel is an equal opportunity employer and actively seeks diversity across our team. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Top Skills
AWS
Azure
Docker
GCP
Go
Kubernetes
Node.js
Python
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The Company
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.
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