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Software Development Engineer, TrafficShift (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Ireland
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 Development Engineer, TrafficShift (AI) (Distributed Systems/Networking): Building and maintaining AWS's TrafficShift service to drain and restore traffic across network devices, with an accent on reliability, performance, and worldwide scalability. Focus on designing distributed systems, building AI agent capabilities, deploying resilient software components, and supporting the service during Dublin hours.

Location: Dublin, Ireland; on-call support during Dublin hours

Company

hirify.global develops and operates AWS cloud infrastructure and global networking services.

What you will do

  • Design, implement, and deploy components and features for TrafficShift, a service that shifts traffic away from impaired network devices.
  • Build performant, stable, maintainable software that scales across AWS's global network infrastructure.
  • Develop and extend AI agent capabilities.
  • Collaborate with network engineers and stakeholders on architecture and technical decisions.
  • Contribute to operational excellence through code reviews, system optimization, testing, and best practices.
  • Participate in the on-call rota during Dublin hours and mentor junior team members.

Requirements

  • Experience designing or architecting new and existing systems, including design patterns, reliability, and scaling.
  • Bachelor's degree or equivalent qualification in a related field.
  • Experience across the full software development life cycle, including coding, code reviews, source control, builds, testing, and operations.
  • Strong software engineering, distributed systems, and problem-solving skills.
  • Availability to support the service during Dublin hours.

Nice to have

  • Experience with machine learning and large language model fundamentals, including model architecture, training and inference lifecycles, and execution optimization.
  • Experience with continuous deployments and operational excellence.

Culture & Benefits

  • Startup-like development environment within AWS.
  • Agile work focused on shipping frequently and addressing high-priority reliability challenges.
  • Learning, ownership, collaboration, and peer support.
  • Direct impact on AWS global network availability and customer connectivity.

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