Senior Software Engineer, MLOps

🔥 18 hours ago

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Forward Financing

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2012

💸 Finance

💳 Fintech

🤝 B2B

💰 $250M Debt Financing on 2021-05

Finance • Fintech • B2B

Forward Financing is a company that provides fast and flexible financing solutions for small businesses. They specialize in offering capital to small businesses that may struggle to secure funding from traditional financial institutions. With a simple application process, businesses can receive funding decisions within hours and may have funds transferred the same day. Their revenue-based financing model allows payments to adjust with the business's revenue. Forward Financing aims to provide clear and transparent terms, ensuring customer satisfaction and trust. They have been recognized for their excellent service and are rated highly by small business owners.

📋 Description

• Design, build, and operate the online feature store — the real-time serving layer that delivers ML features to production models with low latency and strong consistency guarantees • Build and maintain data pipelines (batch and streaming) that compute, validate, and publish features from source systems into the online and offline stores • Work on the data models and Postgres schemas that back real-time feature serving, optimizing for query performance, freshness, and scale • Act as a technical leader for feature store infrastructure; help drive enhancements to quality, scalability, reliability, and observability for the systems ML models depend on • Partner closely with our Data Science, Analytics Engineering, Product Management, and Application Development teams to translate business requirements into production-grade engineering solutions • Contribute to mentoring for junior engineers • Contributing to best practices and raising the bar through thoughtful code reviews and contributions to technical design discussions

🎯 Requirements

• 5+ years of software experience, with a focus on backend systems (Python required) and 2-3 years of MLOps experience • Strong experience with relational databases (Postgres preferred) — schema design, query optimization, and operating databases under production load • Experience building and operating real time inference systems • Understanding of the unique reliability and correctness demands of ML-serving infrastructure (data freshness, training/serving skew, feature consistency) • Experience in multi-service architectures and design patterns • Experience in Agile software development • Typically has a Bachelor's degree in Computer Science, Data Engineering, or a related field, or additional relevant experience

🏖️ Benefits

• medical, dental, vision, and commuter benefits • flexible time-off policy • paid parental leave • 401k match for US employees • wellness reimbursement • volunteering days • annual professional development budget • charitable donation match