The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It's why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It's why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it's why our business strategy centers on making journalism so good that it's worth paying for. About the RoleThe News Product Foundations team at the New York Times builds and maintains a flexible system of editorial, technical and data infrastructure tools to help surface the best of our journalism to readers. You'll support the programming of 1:1 personalization experiments and variants for our machine learning powered systems on the homepage, story pages, and our mobile apps.
You will report to the Senior Engineering Manager within the Reader experience Technology Team
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
- Demonstrate support and understanding of our value of journalistic independence and a commitment to our mission to seek the truth and help people understand the world.
- 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.
Basic Qualifications:- 3+ years of experience in programming languages that are backend focused (Node / Typescript, Go, Java, Python)
- 3+ years of experience with cloud-based deployments on Amazon Web Services or Google Cloud Platform
- 2+ years of experience with data engineering in production applications (Apache Beam / Airflow, Google Cloud Platform Dataflow / Composer).
- 2+ years of experience with terraform to manage production infrastructure at scale.
This role is hybrid, located at our New York City headquarters, and typically requires coming into the office two days per week.
#LI-Hybrid
REQ-020358
The annual base pay range for this role is between:
$140,000-$160,000 USD
For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.
For roles outside of the U.S., information on benefits will be provided during the interview process.
We're excited to learn more about you and your experience. To keep our hiring process as fair and authentic as possible, we ask that you submit your own work and not use GenAI tools to generate substantive content during the application and interview process.
If you're an Engineering candidate, we'll let you know what specific GenAI tools you are permitted to use for your technical assessment.
The New York Times Company is committed to being the world's best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.
We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)'s Know Your Rights Poster is available here.
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