Harnham
Base pay range
$200,000.00/yr - $300,000.00/yr Direct message the job poster from Harnham Recruitment Consultant | Data & Software Engineering at Harnham
New York, NY (4 days on-site) $200,000–$300,000 + bonus + RSUs About the Company
We’re partnering with a fast-growing e-commerce technology company that’s redefining real-time personalization. Their platform processes hundreds of thousands of events per second, leveraging advanced data infrastructure and machine learning to deliver relevant, high-value experiences to customers the moment they engage. The Role
The Real-Time Relevance team builds the distributed systems that power these personalized experiences—low-latency, high-availability services that enable real-time decisioning at scale. As a Senior Backend Engineer, you’ll operate at the intersection of backend systems and ML infrastructure, designing and scaling the core services that drive responsiveness and precision across billions of events. You’ll play a key role in evolving the company’s feature store service, supporting real-time data delivery to models and services across the organization. The work spans backend architecture, distributed systems design, and production MLOps. Responsibilities
Design, build, and maintain backend systems for real-time relevance and ML feature serving Develop low-latency, high-throughput distributed systems in Go Collaborate with ML teams to productionize models and build reliable MLOps pipelines Improve scalability, reliability, and performance of high-volume services Contribute to the design of real-time data pipelines and feature stores (PySpark, Scala) Own projects end-to-end from design through deployment in a fast-moving environment Go, PySpark, Scala, Spark, Kubernetes, Kafka, AWS, and other modern distributed systems tools Ideal Background
You bring deep experience in
backend engineering
and have built systems that handle large-scale, real-time data processing. You’re comfortable designing distributed systems that prioritize
latency, scalability, and reliability , and have partnered with ML or data teams to support
production-grade machine learning . Experience in high-performance engineering environments—either top-tier startups or large-scale tech companies—is highly valued. Why Apply
This is a high-impact, hands-on role shaping the next generation of real-time personalization systems. You’ll collaborate with world-class engineers, build mission-critical infrastructure, and see your work drive measurable business outcomes at scale. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Retail and Software Development
#J-18808-Ljbffr
$200,000.00/yr - $300,000.00/yr Direct message the job poster from Harnham Recruitment Consultant | Data & Software Engineering at Harnham
New York, NY (4 days on-site) $200,000–$300,000 + bonus + RSUs About the Company
We’re partnering with a fast-growing e-commerce technology company that’s redefining real-time personalization. Their platform processes hundreds of thousands of events per second, leveraging advanced data infrastructure and machine learning to deliver relevant, high-value experiences to customers the moment they engage. The Role
The Real-Time Relevance team builds the distributed systems that power these personalized experiences—low-latency, high-availability services that enable real-time decisioning at scale. As a Senior Backend Engineer, you’ll operate at the intersection of backend systems and ML infrastructure, designing and scaling the core services that drive responsiveness and precision across billions of events. You’ll play a key role in evolving the company’s feature store service, supporting real-time data delivery to models and services across the organization. The work spans backend architecture, distributed systems design, and production MLOps. Responsibilities
Design, build, and maintain backend systems for real-time relevance and ML feature serving Develop low-latency, high-throughput distributed systems in Go Collaborate with ML teams to productionize models and build reliable MLOps pipelines Improve scalability, reliability, and performance of high-volume services Contribute to the design of real-time data pipelines and feature stores (PySpark, Scala) Own projects end-to-end from design through deployment in a fast-moving environment Go, PySpark, Scala, Spark, Kubernetes, Kafka, AWS, and other modern distributed systems tools Ideal Background
You bring deep experience in
backend engineering
and have built systems that handle large-scale, real-time data processing. You’re comfortable designing distributed systems that prioritize
latency, scalability, and reliability , and have partnered with ML or data teams to support
production-grade machine learning . Experience in high-performance engineering environments—either top-tier startups or large-scale tech companies—is highly valued. Why Apply
This is a high-impact, hands-on role shaping the next generation of real-time personalization systems. You’ll collaborate with world-class engineers, build mission-critical infrastructure, and see your work drive measurable business outcomes at scale. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Retail and Software Development
#J-18808-Ljbffr