Build and maintain backend APIs and data pipelines that ingest and process large-scale construction data (360° video, schedules, IoT). Optimize storage and query performance using DuckDB and PostgreSQL, extend Airflow workflows, integrate Wasm for local computation, monitor data quality, and collaborate with frontend, CV, and ML teams to deploy production models and analytics.
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!
As a backend 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 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
Doxel provides comprehensive health/dental/vision benefits for employees and their families including an Unlimited PTO policy, a 401(k) program, and a flexible work environment among other benefits. Doxel is an equal opportunity employer and actively seeks diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Doxel Menlo Park, California, USA Office
Menlo Park, CA, United States
Similar Jobs
Big Data • Fintech • Mobile • Payments • Financial Services
Build and operate scalable AI platform infrastructure, including LLM and MCP gateways, agent runtimes, evaluation services, routing, quotas, observability, and security controls. Own projects from design through launch and on-call, establish technical standards, collaborate with security and infrastructure teams, and mentor engineers. Develop highly available distributed backend systems supporting AI workloads across Affirm’s financial products and engineering organization.
Top Skills:
Ai FrameworksAWSAws BedrockChatgptClaudeKotlinKubernetesLitellmLlmsMcpMySQLPython
Big Data • Fintech • Mobile • Payments • Financial Services
Architect and operate Affirm’s large-scale Amazon EKS platform, including cluster lifecycle, node management, autoscaling, workload safety standards, infrastructure as code, GitOps delivery, observability, cost and capacity optimization, and self-healing automation. The role leads technical direction, partners cross-functionally, mentors engineers, and participates in on-call incident response.
Top Skills:
Amazon EksArgo CdAWSCi/CdCluster AutoscalerCorednsEc2GatekeeperGitopsGoIamKarpenterKube ProxyKube-ApplierKubernetesMetrics ServerOpaPythonSpaceliftTerraformVpcVpc Cni
Big Data • Fintech • Mobile • Payments • Financial Services
Lead backend engineering for capacity modeling systems that forecast traffic, resource needs, and infrastructure scaling. Own quarterly team goals, guide engineers through complex problems, collaborate with product and analytics stakeholders, improve code and design standards, monitor system availability, support on-call operations, and develop team talent. Build highly available distributed systems, tune autoscaling and compute performance, and deliver scalable features using Python or Kotlin, AWS, MySQL, and Kubernetes.
Top Skills:
AWSKotlinKubernetesMySQLPython
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
