E

Senior DevOps Engineer

Expedia Group
NewPosted yesterday

LOCATION

India · Onsite

EXPERIENCE

9+ Years

TYPE

FullTime

SALARY

Negotiable

SKILLS REQUIRED

Incident responseInfrastructure as CodeCI/CD PipelinesObservabilityKubernetesSecrets Management

Job description

Overview

Senior DevOps Engineer responsible for building and operating Expedia Group’s core CI infrastructure and enabling fast, reliable, and scalable software delivery across multiple engineering domains. This high-performing individual contributor leads complex, vaguely defined projects, mentors junior engineers, interfaces with local technology leadership, and develops team leadership skills through current projects.

What you'll do

  • Design, implement, and operate native cloud infrastructure, CI/CD pipelines, and platform services that enable rapid, reliable application delivery 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 aligned with operational and security best practices.
  • Safely integrate and operate AI/ML-enabled solutions that improve outcomes.
  • Lead incident response, problem management, and post-incident reviews, using data and metrics to drive continuous operational excellence across services and platforms.
  • Lead complex and vaguely-defined projects.
  • Mentor junior engineers.
  • Interface consistently with technology leadership in the local organization.

What you'll need

  • 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.

Nice to have

  • Experience implementing and tuning remote build caching, including Gradle Enterprise and Bazel Remote Cache.
  • Experience tuning macOS build performance, concurrency, resource allocation, filesystem tuning, or virtualization.
  • Strong AWS experience across compute, storage, networking, and autoscaling.
  • Experience with Terraform, Packer, and the GitHub suite, including GH Actions, workflows, and runners.
  • Experience driving large-scale CI improvements across multiple teams or organizations, with 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.

Details

  • Location: Gurgaon, India.

Read the full description and apply on the company’s own careers page.

Stay safe

Hiring on Abekus is free for applicants

We never charge a fee, and employers are prohibited from doing so. If a recruiter asks for payment, please report them right away.

Senior DevOps Engineer