About the RoleThe 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.
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.
Basic Qualifications:- 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)
Preferred Qualifications:- 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
#LI-Hybrid
REQ-020278
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.
