Senior Software Engineer, Privacy & Governance Services

The New York Times•New York, NY

7d•$140,000 - $160,000•Hybrid

About The Position

The Data Platform mission builds the foundational systems that power data at The New York Times. The Privacy & Governance Services team builds the tooling that makes responsible data use the default. This tooling includes services that classify data, manage access, handle retention and deletion, and give engineering teams across the company a simple, reliable way to do the right thing with sensitive data. We're looking for a Senior Software Engineer to develop these systems. This is a hands-on engineering role: you'll, set technical direction, and for the engineers around you. This is a hybrid role reporting to the Engineering Manager within the Data Platforms mission.

Requirements

5+ years of professional software engineering experience building and operating production systems
Proficiency in one or more languages (e.g., Go, Python, Javascript, Java, Scala, or similar)
Experience building services and APIs at scale
Experience with cloud infrastructure (e.g., AWS or GCP) and modern deployment practices (containers, CI/CD, observability)
Experience working with data systems (e.g., DynamoDB or other NoSQL stores, data warehouses like BigQuery, or similar)

Nice To Haves

Experience with privacy, security, or governance domains such as access control, encryption, anonymization, audit logging, or data lifecycle management
Experience building developer-facing tooling or platforms that other teams adopt
Experience mentoring engineers and leading the technical direction of a team or project
Exposure to working with mobile or native apps

Responsibilities

Develop, and operate production services and APIs that other engineering teams across The Times depend on for privacy and governance capabilities.
Build self-service tooling — SDKs, APIs, and platform integrations — that makes privacy and governance controls easy for product and data teams to adopt.
Develop systems for data subject request (DSR) handling, data classification, access management, data retention and deletion, and consent/age-signal handling at scale.
Encode our accountability model and governance scorecards into automated rules, workflows, and scorecard services that run on the data platform.
Own services through their full lifecycle: design, implementation, testing, deployment, monitoring, and on-call.
Lead technical design reviews, mentor engineers, and drive engineering standards within the team.
Partner with product, legal, privacy, governance, and other Data Platform teams to turn requirements into reliable, well-architected systems.
Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.