As a Senior Backend Engineer on our Modeling team at Windfall, you will be the architect and builder of the core infrastructure that powers our machine learning and AI initiatives. You will work in a high-impact role alongside three data scientists, taking ownership of the systems that build, train, and deploy our models.
This role requires a high degree of autonomy and technical ownership. You will have the independence to personally design and build a scalable MLOps platform capable of supporting Windfall’s next phase of growth.
As a Senior Backend Engineer on our Modeling team at Windfall, you will be the architect and builder of the core infrastructure that powers our machine learning and AI initiatives. You will work in a high-impact role alongside three data scientists, taking ownership of the systems that build, train, and deploy our models.This role requires a high degree of autonomy and technical ownership. You will have the independence to personally design and build a scalable MLOps platform capable of supporting Windfall’s next phase of growth.
What you will do:
Architect and lead the development of distributed services and infrastructure to support the entire machine learning/modeling lifecycle.
Design and implement robust data pipelines for feature engineering and model training using tools like Airflow and Dataflow
Develop and maintain systems for deploying, serving, and monitoring ML models in production.
Work closely with data scientists to translate modeling needs into robust, scalable engineering solutions.
Drive technical design, specifications, and implementation for our backend modeling services.
Some technologies you will use:
Cloud platform: GCP
Programming language: Python
Orchestration: Airflow
Data warehouse & databases: Postgres, BigQuery
Containerization: Kubernetes & Docker
Messaging system: Google PubSub
Requirements:
5+ years of professional backend software engineering experience.
Expert object-oriented programming understanding in Python
Experience building distributed systems, particularly for MLOps or data processing workflows.
Experience building and maintaining CI/CD pipelines, especially for ML models.
You are an excellent communicator who can simplify complex problems and work collaboratively.
You are comfortable making trade-offs between quality, complexity, and speed-of-delivery.
Additional Information:
The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across California. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We also offer a comprehensive benefits package, which you can explore on our careers site.
California: Salary range is $170k - $215k
About Windfall
Windfall is a people intelligence and AI company that gives go-to-market teams actionable insights. By democratizing access to people data, organizations can intelligently prioritize go-to-market resources to drive greater business outcomes. Powered by best-in-class machine learning and artificial intelligence, Windfall activates insights into workflows that engage the right people for each respective organization. More than 1,500 data-driven organizations use Windfall to power their business. For more information, please visit www.windfall.com.
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