Principal Software Engineer, Data Platform jobs in United States
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The New York Times · 2 months ago

Principal Software Engineer, Data Platform

The New York Times is a renowned journalism organization dedicated to independent reporting and quality content. They are seeking a Principal Software Engineer to lead the architecture of their data and machine learning infrastructure, focusing on scalable and reliable systems for data processing and AI applications.

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H1B Sponsor Likelynote

Responsibilities

Architect & Build Platform: Design and evolve infrastructure for data ingestion, storage, batch and streaming pipelines, and machine learning workflows
Enable ML at Scale: Build systems for training, deploying, monitoring, and governing models, including feature stores, registries, and inference platforms
Reliability & Observability: Ensure end-to-end system reliability, monitoring, and cost transparency across data and ML workloads
Self-Service Platforms: Deliver frameworks and APIs that enable engineers, analysts, and ML scientists to build and operate solutions independently
Innovation & Standards: Evaluate and introduce emerging technologies (vector databases, distributed training, orchestration frameworks, LLM stacks) and establish adoption guidelines
Cross-Functional Leadership: Partner with platform, product, and engineering and ML science leaders to align on strategy and accelerate delivery
Mentorship & Influence: Guide senior and staff engineers, lead architecture reviews, and raise the technical bar across data and ML domains
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

Qualification

Distributed systemsData platformsMachine learning infrastructureData processing frameworksCloud platform experiencePythonJavaGoComplianceGovernanceMentorshipCross-functional leadership

Required

10+ years of software engineering experience with a focus on distributed systems, data platforms, and ML infrastructure or equivalent
Proven ability to influence technical direction across multiple teams and mentor senior/staff engineers
Proven expertise in data processing frameworks and table formats (e.g. Spark, Flink, Iceberg) and orchestration tools (e.g. Airflow, Kubeflow)
Deep knowledge of ML infrastructure: model training pipelines, feature stores, registries, serving, and monitoring
Strong programming skills in Python and at least one compiled language like Java or Go
Experience designing systems with scalability, reliability, and cost-efficiency as first-class concerns
Cloud platform experience (AWS, GCP), familiarity with Kubernetes and modern data platform architectures

Preferred

Familiarity with compliance and governance in data/ML systems (auditability, privacy, explainability)
Familiarity with the data lakehouse paradigm and medallion architecture

Company

The New York Times

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The New York Times is powered by the idea that independent, deeply reported journalism fuels a healthy and engaged society.

H1B Sponsorship

The New York Times has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (40)
2024 (20)
2023 (21)
2022 (36)
2021 (27)
2020 (36)

Funding

Current Stage
Late Stage

Leadership Team

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William Bardeen
Chief Financial Officer
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Crystal Chien
VP of Engineering
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Company data provided by crunchbase