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Infrastructure and Enterprise Engineer II (AI Ops)

1 077 000 - 1 507 500CZK
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
CR
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
Infrastructure and Enterprise Engineer II (AI Ops) (AWS/DevOps/SRE): Operating and scaling AI-enabled services and platforms for a large e-commerce and online travel platform with an accent on automation, reliability, observability, and secure production operations. Focus on infrastructure as code, model-serving platforms, APIs, data pipelines, incident response, and improving the resilience of AI workloads.

Location: Prague, Czechia

Salary: Kč1,077,000–Kč1,507,500 total cash annually, with potential pay up to Kč1,723,000 based on sustained performance.

Company

hirify.global is a global travel company operating consumer travel brands, a B2B travel network, and travel advertising services.

What you will do

  • Operate, monitor, and optimize AI-driven production systems and related services against reliability, availability, performance, and SLA objectives.
  • Build and maintain automation, tooling, runbooks, deployment processes, change management, incident response, and recovery workflows.
  • Support model-serving infrastructure, APIs, background processing, and data pipelines in collaboration with software engineering, platform, data, ML, and product teams.
  • Apply system design, API design, data modeling, observability, resilience, and maintainability practices to AI-related services.
  • Integrate and operate AI/ML-enabled solutions with appropriate quality, compliance, security controls, monitoring, and guardrails.
  • Use metrics, logs, and data-driven analysis to reduce operational toil and improve scalability and resilience across multiple domains.

Requirements

  • Technical degree or equivalent practical experience in computer science, engineering, information systems, or a related field.
  • Professional experience supporting production services or platforms, including incident handling and on-call participation.
  • Strong background in DevOps, SRE, or automation-focused operations, including infrastructure as code.
  • Solid scripting or programming skills, preferably Python.
  • Strong understanding of cloud infrastructure with required AWS experience.
  • Practical production exposure to AI-driven systems, tools, or workflows such as model-serving platforms, AI-enabled features, or automated decisioning systems.

Nice to have

  • Experience operating AI or ML workloads at scale, including model deployment, versioning, rollout strategies, and performance monitoring.
  • Experience designing operational architectures with observability, resilience patterns, and capacity planning.
  • Experience driving operational excellence for complex, business-critical systems through post-incident reviews, automation, and reliability improvements.
  • Experience collaborating with engineering and data/ML teams on system design, APIs, and data models.

Culture & Benefits

  • Supportive environment focused on traveler-first thinking, operational excellence, ownership, and collaboration.
  • Medical, dental, and vision coverage.
  • Paid time off and an Employee Assistance Program.
  • Wellness and travel reimbursement, travel discounts, and IATAN membership.
  • Inclusive and accessible recruiting experience with accommodation support.

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