Construction is the 2nd largest industry in the world (4x the size of SaaS!). But unlike software, construction teams lack automated feedback loops to keep projects on schedule and on budget. Without observability, construction wastes a whopping $3T per year because glitches aren’t detected fast enough to recover. Doxel AI brings computer vision to construction, helping teams make better decisions every day and helping deliver the facilities that support the products and services you use daily.
Doxel’s platform uses classic computer vision, deep learning, and ML object detection with a low‑latency 3D web app and a complex data pipeline. We’re building new workflows, analytics dashboards, and forecasting engines. Our software is trusted by Shell Oil, Genentech, HCA Healthcare, Kaiser, Turner, and others.
The Role
As a Senior Backend Engineer, you’ll design, architect, and build resilient, scalable systems that power the intelligence behind Doxel’s AI‑driven construction platform. You’ll tackle complex infrastructure and data engineering challenges, collaborating closely with product, frontend, computer vision, and 3D teams to deliver end‑to‑end solutions—from field data capture to actionable insights.
Who You Are
- Deep curiosity and strong grasp of building distributed systems.
- Clean, efficient code, resilient infrastructure, and scalable architectures.
- Hungry to solve tough technical problems and improve systems that directly impact the real world.
- Bonus: experience on data‑heavy platforms or integrating ML/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.
- Test‑driven development approach—writing tests before code, valuing software quality.
- Experience designing and maintaining complex systems.
- Leader for end‑to‑end product development teams, setting the bar for Doxel.
- Experience designing and maintaining scalable APIs and microservices.
- Experience with computer vision algorithms at scale is a plus.
- Proven track record of building and maintaining data pipelines with real‑world complexity.
- Deep knowledge of distributed systems, asynchronous processing, and message queues.
- Experience 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.
We may use artificial intelligence tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.