Principal Software Engineer, Data Infrastructure

🕒 il y a 2 mois

🗽 New York – Distant

🗽 New York – Remote

💵 198 000 - 220 000 / an

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

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The New York Times

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 1851

📱 Médias

👥 B2C

Media • B2C

Groupon est une plateforme qui connecte les entreprises et les consommateurs en proposant des offres et des réductions sur divers services et produits. Son objectif est de révolutionner la manière dont les entreprises font leur marketing et engagent leur public, en mettant l'accent sur l'innovation, la technologie et une culture axée sur la performance. Groupon promeut un environnement de travail qui valorise l'agilité, le mérite et la communication directe, favorisant une culture où les employés peuvent prendre des décisions ayant un impact significatif et contribuer de manière substantielle à la transformation de l'entreprise.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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.