Senior Backend Software Engineer, Windfall
Modeling Team
$170-215k
Data intelligence company
Open for applications
Data intelligence company
101-200 employees
Open for applications
$170-215k
101-200 employees
Company mission
To change how organizations perceive and use people data.
Role
Who you are
- This role requires a high degree of autonomy and technical ownership
- 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
What the job involves
- 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
- You will have the independence to personally design and build a scalable MLOps platform capable of supporting Windfall’s next phase of growth
- 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
Our take
Consumer financial data is notoriously inaccurate and many data brokers depend on census data, surveys, and zip codes, which are infrequently updated and can lead to false generalisations. This dependency on inaccurate information leads to costly financial mistakes for businesses.
With a focus on the affluent, Windfall delivers a precise net worth figure for individual households which is updated on a weekly basis. The platform collates accurate, up-to-date information from public and private domain records through partnerships with data vendors. It syncs with commonly used tools such as Salesforce, HubSpot and Shopify to power data-driven outreach to customers. Windfall's customer base includes hundreds of non-profits as well as businesses across a wide range of industries looking to better target their own sales and marketing efforts.
Having raised significant funding in 2021, Windfall has gone on to enjoy 100% year-on-year growth. In the immediate future it intends to double down on its success by expanding its sales and marketing reach and by further developing its product, including its application to give go-to-market teams direct access to its platform.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-1% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Apr 2025
$65m
SERIES B
Mar 2021
$21m
SERIES A
Total funding: $95m
Company benefits
- Medical, dental, and vision
- Retirement benefits
- Commuter benefits
- Long-term disability and life
- Paid time off
- Paid sick and volunteer days
- Paid parental leave
- Floating holidays
- Stock options
- Fully-stocked kitchen
- Pet-friendly office
- Remote-enabled
Company HQ
Jackson Square, San Francisco, CA
Leadership
Arup Banerjee
(CEO)Started his career in investment banking and growth equity, before switching to product management after completing an MBA at Haas School of Business.
Cory Tucker
(CTO)Spent 9+ years at Sun Microsystems and Guidewire in various software engineering roles, before moving to a Director of Engineering role at Radius Intelligence, a Big Data company.
Daniel Stevens
(COO)Studied Economics, Spanish, Markets & Management at Duke University. Background in investment and advisory services banking. Previously Head of Business Operations at Radius Intelligence for 1 year.
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