Senior Backend Engineer
Remote, USA
Engineering /
Full Time /
Remote
Doxel makes hard decisions easier on construction projects.
Construction is a $12T industry where the majority of the gains from information technology are yet to be realized, with IT spend being among the lowest compared to other industries.
Doxel is AI that uses cameras & image recognition to analyze construction projects & predict delays, so teams can solve problems before they snowball and make decisions with objective data.
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.
The Role
Engineers on the Backend team produce the foundation for Doxel's construction insights. The team owns the behind the scenes technology that snapshots hundreds of thousands of square feet of construction activity per day and the software that ingests 100s of gigabytes of data per site per day. You will work closely with Product, Frontend Engineering, and Design to build a polished product that serves customer’s needs in an intuitive way. You will also work internally with teams that build and train our state-of-the-art CV and ML automation pipelines.
As the company serves a growing number of customers, the engineering team needs to bolster the data pipeline and API platform we have built to reduce the frequency of service disruptions and make the platform easier to extend in order to support new features. You will apply your backend software development expertise to promote strong design patterns and unify our data pipeline so different teams and systems work well together, acting as a force multiplier. Outside of your domain, you're eager to learn, inside your domain you're able and willing to teach us something. You care deeply about reliable, low-upkeep software.
Responsibilities
- Create and maintain APIs to serve our front-end applications.
- Extend our ETL pipeline to meet evolving business needs.
- Create diagnostic tools to track data quality and pipeline performance.
- Find the right trade-offs between "fast" and "rigorous" in a dynamic startup.
- Monitor complexity in our workflows and introduce general, flexible, and simple paradigms for our data flow and computation infrastructure.
- Work with our Computer Vision and Machine Learning engineers to release state-of-the-art 3D computer vision models.
Qualifications
- 5+ years with experience in Python, C++ or a FP Language
- 3+ years of experience working in a full stack or back end focused engineering role within an agile, cloud based environment
- 2+ year of experience working with ETL pipelines.
- Experience with Kubernetes and Airflow
- Experience with SQL and deep database knowledge for modifying queries and tables.
- Experience with test driven development
- Experience with CV or ML development not required but considered a plus
- Bachelor’s degree in Computer Science or other technical discipline
The base pay range for this position is $160,000 - $200,000. Pay is based on factors such as location, skill level, qualifications, competencies, and overall experience. Options may be included as an additional part of the package.
Doxel also provides comprehensive health/dental/vision benefits for employees and their families, 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.
