обновлено 3 дня назад
Infrastructure and Enterprise Engineer II (AI Ops)
1 077 000 - 1 507 500CZK
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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