Principal Cloud Platform Engineer

Expedia, Inc.; San Jose, Northern (CA, KY); Hybrid; USD 249,000 - 349,000; Full time

Job summary

Expedia Group is seeking a Principal Software Development Engineer to steer the Cloud Platform architecture in San Jose, CA. You will shape the future of our cloud-native services, drive scalable Kubernetes designs, and improve developer tooling to support rapid, reliable software delivery.

You’ll lead multi-team efforts, define cost-aware infrastructure strategies, and ensure robust observability while embracing AI-driven workflows to optimize performance and reliability.

Qualifications

• Experience designing, building, and operating large-scale, cloud-native distributed systems.
• Proven ownership of multi-service platforms including API design and data modeling.
• Deep knowledge of at least one major public cloud provider and core platform technologies.
• Strong architectural decision making and leadership across teams.
• Familiarity with AI/ML concepts in cloud platforms.

Responsibilities

• Lead architectural evolution toward a cell-based, scalable platform.
• Modernize Kubernetes strategy with multi-cluster management, service mesh, and automated scaling.
• Define observability standards with SRE and OpenTelemetry practices.
• Develop FinOps tooling to tie infrastructure spend to business value.
• Build agent-friendly infrastructure and standardized Dev Containers for fast iteration.

Skills

Kubernetes

Go

Rust

Cloud platforms

Observability

Terraform

Pulumi

CI/CD

AI/ML concepts

Education

Bachelor's degree in Computer Science or equivalent

Tools

OpenTelemetry

Prometheus

Job description

Expedia Group is seeking a Principal Software Development Engineer to steer the Cloud Platform architecture in San Jose, CA. You will shape the future of our cloud-native services, drive scalable Kubernetes designs, and improve developer tooling to support rapid, reliable software delivery.

You’ll lead multi-team efforts, define cost-aware infrastructure strategies, and ensure robust observability while embracing AI-driven workflows to optimize performance and reliability.