Principal Software Engineer, Data Infrastructure

🕒 Abril 7

🗽 New York – Remoto

🗽 New York – Remote

💵 198.000 - 220.000 / ano

⏰ Tempo Integral

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

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The New York Times

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 1851

📱 Mídia

👥 B2C

Media • B2C

A Groupon é um mercado de experiências que oferece às pessoas mais maneiras de aproveitar ao máximo sua cidade ou qualquer lugar em que estejam. Ao viabilizar o comércio móvel em tempo real entre empresas locais, eventos ao vivo e destinos turísticos, a Groupon ajuda as pessoas a encontrar e descobrir experiências – grandes e pequenas, novas e familiares – que proporcionam uma vida plena, divertida e gratificante. A Groupon ajuda as empresas locais a crescer e fortalecer seu relacionamento com os clientes – resultando em comunidades fortes e vibrantes.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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 • professional development programs.