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The New York Times Logo

Software Engineer, CI/CD Platforms

The New York Times

$110,000 - $130,000
Aug 18, 2025
New York, NY, US
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The New York Times is looking to enable engineering teams to ship code with high velocity and quality by building and improving their Internal Developer Platform.

Requirements

  • 3+ years of software programming(language-agnostic, but we use Go) and scripting like bash
  • 2+ years of infrastructure provisioning and monitoring using Terraform and DataDog or Prometheus and with cloud services like AWS or GCP
  • 2+ years of experience working with CI/CD systems like Github Actions, Jenkins, and ArgoCD
  • Experience troubleshooting issues with users: You are motivated by helping others succeed
  • 2+ years of experience running and troubleshooting workloads on Kubernetes clusters (understanding of resources management and observability)
  • Experience in prompt engineering or building AI-powered internal tools

Responsibilities

  • Help develop infrastructure and observability for Continuous Integration and Continuous Deployment platform that supports hundreds of builds and deployments per day to ensure system reliability and scalability
  • Production support of our users, including weekly on-call rotations

Other

  • This is a hybrid position, with the choice to work from home up to 3 days a week.
  • 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.
  • The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws.
  • The Company will further consider qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable "Fair Chance" laws.