Forward Financing

1 day ago

Senior Software Engineer, MLOps

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 41 minutes agoStatus: Live

Job Summary

Build and operate an online feature store that serves ML features to production models with low latency and strong consistency. Own batch and streaming data pipelines, and work with Postgres data models to optimize query performance, freshness, and scale. Lead reliability, scalability, and observability for feature store infrastructure while partnering with Data Science, Analytics Engineering, Product, and Application Development teams. Mentor junior engineers and raise standards through code reviews and technical design discussions.

Location: United States, Boston

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, build, and operate an online feature store that serves ML features to production models with low latency and strong consistency
•Build and maintain batch and streaming data pipelines that compute, validate, and publish features to online and offline stores
•Work on data models and Postgres schemas to optimize query performance, freshness, and scale for real-time feature serving
•Serve as a technical leader for feature store infrastructure, improving quality, scalability, reliability, and observability
•Partner with Data Science, Analytics Engineering, Product Management, and Application Development to deliver production-grade engineering solutions

Pay and Benefits

Salary: USD 175,000 - 220,000 annually

Perks:Health InsuranceDentalVision401k

Key Requirements

•5+ years of software experience focused on backend systems (Python required) and 2-3 years of MLOps experience
•Strong experience with relational databases (Postgres preferred), including schema design, query optimization, and operating databases under production load
•Experience building and operating real-time inference systems
•Understanding of reliability and correctness demands of ML-serving infrastructure (data freshness, training/serving skew, feature consistency)
•Experience in multi-service architectures and design patterns; experience with Agile software development

Experience:5+ yearsMLOpsMACHINE LEARNINGFinTech

Education:Bachelor's in Computer Science, Data Engineering, or a related field

Skills:MentoringCode reviewsTechnical leadershipCommunicationInfluencing others

Tech Stack:PythonPostgresPostgreSQLData pipelinesBatchStreamingFeature storeFeastTectonSageMaker Feature StoreMLflowAirflowDbtAgileReal-time inferenceML model deploymentProduction modelsObservabilitySchema design

Company Brief

Forward Financing

Forward Financing is a Boston-based fintech lender that provides fast, flexible revenue-based working capital to small businesses nationwide, using proprietary underwriting and capital markets facilities to deliver timely funding solutions.

Industry: Lending

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Private Equity Backed

Headquarters: Boston, United States

Founded: 2012

Glassdoor: 4.7

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

Forward Financing

1 day ago

Senior Software Engineer, MLOps

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 41 minutes agoStatus: Live

Job Summary

Location: United States, Boston

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, build, and operate an online feature store that serves ML features to production models with low latency and strong consistency
•Build and maintain batch and streaming data pipelines that compute, validate, and publish features to online and offline stores
•Work on data models and Postgres schemas to optimize query performance, freshness, and scale for real-time feature serving
•Serve as a technical leader for feature store infrastructure, improving quality, scalability, reliability, and observability
•Partner with Data Science, Analytics Engineering, Product Management, and Application Development to deliver production-grade engineering solutions

Pay and Benefits

Salary: USD 175,000 - 220,000 annually

Perks:Health InsuranceDentalVision401k

Key Requirements

•5+ years of software experience focused on backend systems (Python required) and 2-3 years of MLOps experience
•Strong experience with relational databases (Postgres preferred), including schema design, query optimization, and operating databases under production load
•Experience building and operating real-time inference systems
•Understanding of reliability and correctness demands of ML-serving infrastructure (data freshness, training/serving skew, feature consistency)
•Experience in multi-service architectures and design patterns; experience with Agile software development

Experience:5+ yearsMLOpsMACHINE LEARNINGFinTech

Education:Bachelor's in Computer Science, Data Engineering, or a related field

Skills:MentoringCode reviewsTechnical leadershipCommunicationInfluencing others

Company Brief

Forward Financing

Industry: Lending

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Private Equity Backed

Headquarters: Boston, United States

Founded: 2012

Glassdoor: 4.7

Website LinkedIn Glassdoor