Senior DevOps Engineer

Expedia, Inc.; Gurgaon; On-site; INR 3,500,000 - 5,200,000; Full time

Job summary

Expedia Group is seeking a Senior DevOps Engineer to design, implement, and operate cloud infrastructure and CI/CD pipelines across domains. You will build automated deployment, monitoring, and observability solutions to ensure high availability and scale while mentoring junior engineers.

You will lead incident response, drive reliability engineering, and partner with architecture teams to optimize data flows, security, and performance in a fast-paced, globally distributed environment.

Qualifications

• Relevant degree in software engineering, CS, or a related field.
• 9+ years of hands-on experience with native cloud environments.
• Proven expertise in CI/CD tooling, IaC, automation, and end-to-end platforms.

Responsibilities

• Design, implement, and operate cloud infrastructure, CI/CD pipelines, and platform services.
• Build, configure, and monitor automated deployment and observability solutions.
• Lead incident response and post-incident reviews with data-driven fixes.
• Collaborate with architecture teams on system design and integration patterns.
• Mentor junior engineers and drive reliability improvements across services.

Skills

CI/CD tooling

IaC

Automation

System design

Observability

Incident management

Reliability engineering

AWS

CI/CD pipelines

Leadership

Education

Bachelor's degree in CS/Engineering

Tools

Terraform

Packer

GitHub Actions

Gradle Enterprise

Bazel Remote Cache

Job description

## Senior DevOps EngineerApply: India - Gurgaon: Full time: Posted Today: End Date: October 6, 2026 (4 days left to apply): R-109800At 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.About the team: We build and operate Expedia Group's core CI infrastructure that powers engineering teams across multiple domains. Our mission is to deliver fast, reliable, and scalable build systems—spanning native, backend, platform, and service teams—enabling developers to ship high‐quality software with confidence. A high performing and influential individual contributor who leads by example while continuing to mentor junior engineers, interfaces consistently with tech leadership in the local organization, leads complex and vaguely-defined projects, and stretches into team leadership skills based on current projects. In this role, you will:* Design, implement, and operate native cloud infrastructure, CI/CD pipelines, and platform services that enable rapid, reliable delivery of applications across multiple domains.* Build, configure, and maintain automated deployment, monitoring, and observability solutions to ensure high availability, scalability, and performance of critical services.* Drive improvements in infrastructure-as-code, configuration management, and environment standardization to increase reliability, reduce manual work, and improve developer productivity.* Partner with engineering and architecture teams to define system design, including low-level design, API integration patterns, and data flows that align with operational and security best practices.* Safely integrate and operate AI/ML‐enabled solutions that improve outcomes, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products.* Lead incident response, problem management, and post-incident reviews, using data and metrics to drive continuous operational excellence across services and platforms. Minimum Qualifications:* Relevant technical degree or equivalent practical experience in software engineering, computer science, or a related field with a focus on infrastructure, systems, or DevOps.* 9+ years of Extensive hands-on experience in native cloud environments operating production systems, including ownership of one or more services or platforms end to end.* Demonstrated expertise in CI/CD tooling, infrastructure-as-code, and automation, including build, test, deployment, and environment provisioning workflows.* Strong proficiency in system design, including low-level design of infrastructure components, API integration, networking, security controls, and data modeling for operational systems.* Proven experience monitoring, scaling, and troubleshooting distributed systems in production using logs, metrics, and alerts to maintain reliability and performance. Preferred Qualifications:* Experience with implementing and tuning remote build caching (Gradle Enterprise, Bazel Remote Cache).* Experience with tuning macOS build performance, concurrency, resource allocation, filesystem tuning, or virtualization.* Strong AWS experience — compute, storage, networking, autoscaling.* Experience with Terraform, packer, GitHub suite(GH Actions, workflows and runners)* Experience driving large-scale CI improvements across multiple teams or orgs, having the ability to lead ambiguous technical initiatives with minimal direction.* Deep experience designing and operating complex, large-scale cloud-native platforms or multi-service environments with strong emphasis on resilience, capacity planning, and cost optimization.* Track record of leading architecture and design for deployment pipelines, infrastructure platforms, and operational tooling, including defining standards and best practices across teams.* Advanced expertise in observability, incident management, and reliability engineering, using data-driven approaches to improve SLIs/SLOs and reduce operational toil.* Experience integrating and operating AI/ML‐enabled or AI-assisted systems in production (such as intelligent monitoring, automated remediation, or optimization pipelines), including safely leveraging AI tooling to enhance DevOps workflows.* Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products in the context of deployment automation, infrastructure optimization, or reliability engineering.