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11 часов назад

Senior Software Engineer - Data Engineering (AI)

184 000 - 244 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Senior Software Engineer (Data Engineering): Designing, developing, and optimizing data infrastructure and pipelines for an ML-based online advertising platform with an accent on robust and scalable solutions, cost-effectiveness, and data quality. Focus on improving system scalability, availability, and performance across hirify.global Commerce Media’s data infrastructure and developing internal tools.

Location: Onsite in Menlo Park, California, United States. Compensation and benefits are for United States residents only.

Salary: $184,000–$244,000 USD

Company

hirify.global builds powerful AI advertising solutions and a planet-scale machine learning platform, aiming to democratize access to advanced AI for businesses through its suite of growth and monetization solutions.

What you will do

  • Develop an ML-based online advertising platform for the rapidly growing retail media industry.
  • Design, develop, and optimize data infrastructure and pipelines for robust and scalable solutions.
  • Mentor others on the team and lead high-impact projects.
  • Design and develop complex data pipelines and ETL processes for managing big data.
  • Improve cost-effectiveness of data pipelines, storage, and databases independently and collaboratively.
  • Enhance system scalability, availability, and performance across hirify.global Commerce Media’s data infrastructure.

Requirements

  • 6+ years of software engineering experience using modern languages such as Java, C#, Go, C++, or Python.
  • Proficiency in SQL or NoSQL database technologies and foundational SQL knowledge.
  • Experience with computer systems architecture, operating systems, or distributed systems.
  • Extensive experience with cloud platforms (e.g., AWS, Azure, Google Cloud) or equivalent on-premise systems.
  • Strong programming fundamentals, testing practices, and knowledge of common algorithms and data structures.
  • System design and development skills, especially in large-scale environments.
  • Experience with data modeling, analytics, data management, or big data processing/MapReduce.
  • Strong analytical and troubleshooting skills in ambiguous or evolving environments.

Culture & Benefits

  • Competitive benefits package for United States residents, supporting employee well-being.
  • Values: Lead with Humility, Uncapped Growth Mindset, Create Real Value, and Go Further Together.
  • Focus on creating a diverse workforce and a culture of inclusion and belonging.
  • Opportunities to learn, grow, and improve through diverse perspectives and experimentation.

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