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5 дней назад

Software Engineer II, Model Platform (AI)

Тип работы
fulltime
Грейд
middle
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
Software Engineer II, Model Platform (AI): Building and scaling model-serving infrastructure, real-time data pipelines, and online feature-serving systems for an advanced threat-detection platform with an accent on distributed systems, cloud engineering, and data-intensive services. Focus on scaling model-serving and data-processing workloads by 10x, optimizing performance, and creating reliable development workflows for ML Engineering and Data Science teams.

Company

hirify.global develops technology that detects and prevents advanced email and cloud-based attacks.

What you will do

  • Architect, design, build, deploy, and maintain model-serving infrastructure for the Detection Engine.
  • Scale model-serving and data-processing services to support 10x current traffic.
  • Build and operate real-time and near-real-time streaming pipelines.
  • Develop online feature-serving services for detection models.
  • Collaborate with ML Engineering and Data Science teams to turn feedback into technical strategy and delivered solutions.

Requirements

  • 4+ years of experience as a Software Engineer or in a similar role, including hands-on work with data-focused solutions.
  • Experience using AI tools throughout software discovery, design, implementation, and rollout.
  • Experience maintaining large-scale distributed systems on AWS, GCP, or Azure.
  • Experience with real-time or near-real-time data pipelines and streaming services.
  • Strong computer science fundamentals, including data structures and performance optimization.
  • Bachelor’s degree in Computer Science, Applied Sciences, Information Systems, or a related engineering field.

Nice to have

  • Familiarity with AWS, Kubernetes, Python/Django, Golang, and Postgres.
  • Experience building scalable, enterprise-grade applications.
  • Knowledge of web security and the OWASP Top 10.
  • Familiarity with Cursor, GitHub Copilot, or Claude.

Culture & Benefits

  • Potential eligibility for equity and annual bonus or other incentive compensation.
  • Comprehensive benefits package.
  • AI-assisted recruiting tools support interview preparation but do not make hiring decisions.
  • Video interviews, identity validation, and pre-employment checks are part of the secure hiring process.

Hiring process

  • Applications are reviewed individually, with a typical response within two weeks.
  • Interview stages include video interviews and identity validation.
  • Successful candidates complete pre-employment checks before receiving a final offer.

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