Senior Software Engineer, News Personalization & Data Infra

The New York Times; New York (NY); Hybrid; USD 140,000 - 160,000; Full time

Job summary

The New York Times is seeking a Senior Software Engineer for News Product Foundations in New York, NY. This hybrid role involves building data and infrastructure to power our ML-driven editorial tools and surfaces, with a strong emphasis on real-time systems using Kubernetes and Kafka.

You will own the personalization subgraph in a federated GraphQL architecture and collaborate across back-end systems to enhance content discoverability. Equal opportunity employer, based in NYC headquarters.

Qualifications

• 3+ years of experience in backend programming languages (Node/Typescript, Go, Java, Python).
• 3+ years of cloud deployments on AWS or GCP.
• 2+ years of experience with data engineering in production applications (Beam/Airflow, Dataflow/Composer).
• 2+ years of experience with Terraform to manage production infrastructure at scale.

Responsibilities

• Lead the development and optimization of data and technical infrastructure that connects our machine learning platform to editorial tools and surfaces.
• Draw on your experience with Kubernetes and Kafka to build real-time systems that reflect the rapid pace of our newsroom.
• Maintain our Personalization subgraph in a federated GraphQL architecture.
• Contribute to other back-end systems that improve the quality of our product and the discoverability of our content.
• This role may require limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables.
• You will report to a Senior Engineering Manager for the News Product Foundations team.

Skills

Node/Typescript

Go

Java

Python

Tools

Kubernetes

Kafka

GraphQL

Terraform

Job description

The New York Times is seeking a Senior Software Engineer for News Product Foundations in New York, NY. This hybrid role involves building data and infrastructure to power our ML-driven editorial tools and surfaces, with a strong emphasis on real-time systems using Kubernetes and Kafka.

You will own the personalization subgraph in a federated GraphQL architecture and collaborate across back-end systems to enhance content discoverability. Equal opportunity employer, based in NYC headquarters.