1 day ago
Responsibilities
- Own service and integration architecture for AI platforms and enterprise systems with emphasis on security, cost efficiency, and operability.
- Design reusable infrastructure-as-code modules, automation frameworks, and policy-as-code systems.
- Lead incident resolution, root-cause analysis, and post-incident improvements across teams.
- Design secure, compliant, and scalable integrations between internal platforms and enterprise SaaS systems.
- Define SLOs and implement observability through telemetry, synthetic testing, and alerting.
- Drive automation and SaaS integration best practices, toil reduction, and adoption across teams.
- Design operational flows, runbooks, escalation paths, and self-service resources that reduce dependencies.
- Forecast infrastructure capacity and costs and provide data-driven investment recommendations.
- Mentor junior and mid-level engineers and establish scalable documentation and engineering standards.
Requirements
- 5+ years of experience in infrastructure, platform, or enterprise systems engineering, or 3+ years with a master’s degree.
- Bachelor’s degree or equivalent practical experience in a relevant field; a technical degree is preferred.
- Hands-on design experience with AWS, Azure, or GCP infrastructure, including compute, networking, storage, and IAM.
- Experience owning infrastructure-as-code automation with Terraform, Pulumi, or an equivalent tool, including reusable modules and policy-as-code.
- Proficiency in Python, Go, or a similar programming language, with experience reducing operational toil, forecasting capacity, and making cost-aware recommendations.
- Experience designing SaaS or enterprise-system integration architectures with lifecycle management, security controls, and compliance considerations.
- Experience defining SLOs and engineering observability solutions involving telemetry, synthetic testing, and alerting.
- Working knowledge of LLMs, RAG, agentic systems, AI-assisted operations, guardrails, governance, and production monitoring.
- Experience administering or integrating enterprise AI copilot and knowledge-assistant platforms, including access controls and data integration.
- Experience owning service or integration architecture from inception through production and making security and operability decisions.
- Strong technical communication skills, including architecture decision records, design documents, and runbooks.
- Preferred qualifications include experience with Glean, ServiceNow, Salesforce, platform standards, golden paths, mentorship, infrastructure open source, AI-enabled operational workflows, and FinOps practices.
Benefits
- Medical, dental, and vision coverage.
- Paid time off and an Employee Assistance Program.
- Wellness and travel reimbursement.
- Travel discounts and IATAN membership.
- The position is based in Austin; compensation varies by location, budget, and qualifications.
About Expedia
Expedia Group builds a global online travel marketplace where consumers book flights, hotels, vacation rentals, cars, and activities, and partners distribute and market inventory across its platform. It monetizes through commissions, merchant/agency models, and advertising via brands including Expedia, Hotels.com, and Vrbo. Founded in 1996 and headquartered in Seattle, the public company (NASDAQ: EXPE) serves travelers and partners in more than 70 countries with B2C, B2B, and ad tech offerings.