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2 часа назад

Senior Software Engineer (ML Infrastructure)

152 000 - 224 000$
Формат работы
hybrid
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 (ML Infrastructure): Designing and building scalable infrastructure for machine learning and computer vision development and deployment with an accent on software architecture, data processing, and engineering best practices. Focus on developing and operating microservices in public cloud environments (AWS, Azure, or GCP) and supporting production-grade ML solutions.

Location: Hybrid in Boston, MA, requiring two core days in the office (Tuesday, Wednesday, or Thursday).

Salary: $152,000–$224,000 annually.

Company

hirify.global is a leading innovator in the home security industry, dedicated to making every home a safe home.

What you will do

  • Design, build, and maintain software systems and infrastructure that support the end-to-end ML lifecycle.
  • Support the development and operation of production-grade machine learning solutions.
  • Develop and operate microservices in a public cloud environment (AWS, Azure, or GCP).
  • Collaborate cross-functionally with ML and platform teams to deliver scalable solutions.
  • Contribute to cloud infrastructure automation, CI/CD pipelines, and containerized deployments.
  • Provide technical guidance and mentorship to engineers.

Requirements

  • 5+ years of experience building software systems and infrastructure.
  • 3+ years of experience deploying and supporting production solutions on AWS.
  • Experience building and operating production applications on Kubernetes.
  • Experience with AWS data services such as Athena, Glue, and Kinesis.
  • Familiarity with AWS services such as Lambda, Dynamodb, and IAM.
  • Expertise in containers, infrastructure automation, and CI/CD tooling.

Nice to have

  • Experience supporting or building platforms for ML or data-intensive systems.
  • Exposure to LLM-powered applications, including evaluation, inference, or integration.
  • Experience with distributed compute frameworks (e.g., Ray, Spark).
  • Background in building secure, compliant systems in cloud environments.

Culture & Benefits

  • A mission- and values-driven culture with a safe, inclusive environment for growth.
  • A comprehensive total rewards package supporting wellness and security.
  • Free hirify.global system and professional monitoring for your home.
  • Employee Resource Groups (ERGs) for networking, mentorship, and development.

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