Infrastructure and Enterprise Engineer II
Expedia Group
Infrastructure and Enterprise Engineer II
Job Description
At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.Introduction to the TeamWe are building a new AI Ops Engineering team focused on automation, reliability, and operational excellence for one of the world’s largest e‑commerce and online travel platforms. This role focuses on operating, scaling, and improving AI‑enabled services and platforms in a cloud‑first, automation‑driven AWS environment. You will apply DevOps, SRE, and platform engineering principles to ensure AI‑driven systems are reliable, observable, secure, and easy to operate in production. Rather than building models, this role emphasizes operational ownership, infrastructure as code, automation, and safe integration of AI‑powered capabilities into real‑world systems.In this role, you willOperate, monitor, and optimize AI‑driven production systems and related services to ensure reliability, availability, and performance within defined SLAs.You will implement and maintain automation, tooling, and runbooks that simplify AI system operations, including deployment, change management, incident response, and recovery.You will collaborate with software engineers, data and ML teams, and product partners to support AI workloads in production, including model‑serving infrastructure, APIs, and data pipelines.You will apply system design, API design, and data modeling principles to improve the robustness, observability, and maintainability of AI‑related services and platforms.You will safely integrate and operate AI/ML‑enabled solutions that improve outcomes, ensuring appropriate controls, monitoring, and guardrails for quality, compliance, and security.You will use metrics, logs, and data‑driven insights to continuously refine operational processes, reduce toil, and enhance the scalability and resilience of AI operations across multiple domains.You will collaborate closely with software engineers, platform teams, and data/ML partners to support AI‑powered workloads in production, including APIs, model‑serving platforms, background processing, and data pipelines.Minimum QualificationsRelevant technical degree or equivalent practical experience in computer science, engineering, information systems, or a closely related field.Professional experience operating or supporting production services or platforms, including responsibility for incident handling, on‑call participation, and continuous improvement of operational health.Strong background in DevOps, SRE, or Automation-focused Operations.Proven experience automating operational processes, and managing infrastructure via code.Solid scripting or programming skills, preferably PythonStrong understanding of cloud infrastructure, with AWS experience required.Practical exposure to AI‑driven systems, tools, or workflows in production, such as model‑serving platforms, AI‑enabled features, or automated decisioning systems.Preferred QualificationsExperience operating AI or ML workloads at scale, including model deployment, versioning, rollout strategies, and monitoring model performance and system behavior in production.Demonstrated ability to design and implement robust operational architectures for AI‑driven services, including observability, resilience patterns, and capacity planning.Proven track record of driving operational excellence for complex, business‑critical systems, including post‑incident reviews, automation of manual tasks, and reliability‑focused improvements.Familiarity with AI‑driven systems, tools, or workflows and applying AI/ML concepts to real‑world products, including safely integrating and operating AI/ML‑enabled solutions that improve outcomes.Experience collaborating with engineering and data/ML teams to influence system design, APIs, and data models for better operability of AI‑powered features and services.The total cash range for this position in Prague is Kč772,500.00 to Kč1,081,500.00. Employees in this role have the potential to increase their pay up to Kč1,236,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.Benefits and perksExpedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediagroup.com/life.You can find the benefits for this location and any collective agreement that may apply here.Accommodation requestsExpedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.About Expedia GroupExpedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.Important noticeEmployment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.Equal OpportunityExpedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Locations
- Czech Republic - Prague
Skills Required
- computer scienceintermediate
- DevOpsintermediate
- AI‑driven systemsintermediate
Required Qualifications
- Relevant technical degree or equivalent practical experience in computer science, engineering, information systems, or a closely related field. (experience)
- Professional experience operating or supporting production services or platforms, including responsibility for incident handling, on‑call participation, and continuous improvement of operational health. (experience)
- Strong background in DevOps, SRE, or Automation-focused Operations. (experience)
- Proven experience automating operational processes, and managing infrastructure via code. (experience)
- Solid scripting or programming skills, preferably Python (experience)
- Strong understanding of cloud infrastructure, with AWS experience required. (experience)
- Practical exposure to AI‑driven systems, tools, or workflows in production, such as model‑serving platforms, AI‑enabled features, or automated decisioning systems. (experience)
- Relevant technical degree or equivalent practical experience in computer science, engineering, information systems, or a closely related field. (experience)
- Professional experience operating or supporting production services or platforms, including responsibility for incident handling, on‑call participation, and continuous improvement of operational health. (experience)
- Strong background in DevOps, SRE, or Automation-focused Operations. (experience)
- Proven experience automating operational processes, and managing infrastructure via code. (experience)
- Solid scripting or programming skills, preferably Python (experience)
- Strong understanding of cloud infrastructure, with AWS experience required. (experience)
- Practical exposure to AI‑driven systems, tools, or workflows in production, such as model‑serving platforms, AI‑enabled features, or automated decisioning systems. (experience)
Preferred Qualifications
- Experience operating AI or ML workloads at scale, including model deployment, versioning, rollout strategies, and monitoring model performance and system behavior in production. (experience)
- Demonstrated ability to design and implement robust operational architectures for AI‑driven services, including observability, resilience patterns, and capacity planning. (experience)
- Proven track record of driving operational excellence for complex, business‑critical systems, including post‑incident reviews, automation of manual tasks, and reliability‑focused improvements. (experience)
- Familiarity with AI‑driven systems, tools, or workflows and applying AI/ML concepts to real‑world products, including safely integrating and operating AI/ML‑enabled solutions that improve outcomes. (experience)
- Experience collaborating with engineering and data/ML teams to influence system design, APIs, and data models for better operability of AI‑powered features and services. (experience)
- Experience operating AI or ML workloads at scale, including model deployment, versioning, rollout strategies, and monitoring model performance and system behavior in production. (experience)
- Demonstrated ability to design and implement robust operational architectures for AI‑driven services, including observability, resilience patterns, and capacity planning. (experience)
- Proven track record of driving operational excellence for complex, business‑critical systems, including post‑incident reviews, automation of manual tasks, and reliability‑focused improvements. (experience)
- Familiarity with AI‑driven systems, tools, or workflows and applying AI/ML concepts to real‑world products, including safely integrating and operating AI/ML‑enabled solutions that improve outcomes. (experience)
- Experience collaborating with engineering and data/ML teams to influence system design, APIs, and data models for better operability of AI‑powered features and services. (experience)
- Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future. (experience)
Responsibilities
- Operate, monitor, and optimize AI‑driven production systems and related services to ensure reliability, availability, and performance within defined SLAs.
- You will implement and maintain automation, tooling, and runbooks that simplify AI system operations, including deployment, change management, incident response, and recovery.
- You will collaborate with software engineers, data and ML teams, and product partners to support AI workloads in production, including model‑serving infrastructure, APIs, and data pipelines.
- You will apply system design, API design, and data modeling principles to improve the robustness, observability, and maintainability of AI‑related services and platforms.
- You will safely integrate and operate AI/ML‑enabled solutions that improve outcomes, ensuring appropriate controls, monitoring, and guardrails for quality, compliance, and security.
- You will use metrics, logs, and data‑driven insights to continuously refine operational processes, reduce toil, and enhance the scalability and resilience of AI operations across multiple domains.
- You will collaborate closely with software engineers, platform teams, and data/ML partners to support AI‑powered workloads in production, including APIs, model‑serving platforms, background processing, and data pipelines.
- Operate, monitor, and optimize AI‑driven production systems and related services to ensure reliability, availability, and performance within defined SLAs.
- You will implement and maintain automation, tooling, and runbooks that simplify AI system operations, including deployment, change management, incident response, and recovery.
- You will collaborate with software engineers, data and ML teams, and product partners to support AI workloads in production, including model‑serving infrastructure, APIs, and data pipelines.
- You will apply system design, API design, and data modeling principles to improve the robustness, observability, and maintainability of AI‑related services and platforms.
- You will safely integrate and operate AI/ML‑enabled solutions that improve outcomes, ensuring appropriate controls, monitoring, and guardrails for quality, compliance, and security.
- You will use metrics, logs, and data‑driven insights to continuously refine operational processes, reduce toil, and enhance the scalability and resilience of AI operations across multiple domains.
- You will collaborate closely with software engineers, platform teams, and data/ML partners to support AI‑powered workloads in production, including APIs, model‑serving platforms, background processing, and data pipelines.
Benefits
- general: Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediagroup.com/life.
- general: You can find the benefits for this location and any collective agreement that may apply here.
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