Role summary

We are looking for a Infrastructure & Enterprise Engineer III to join the Reliability Operations. This role is built for a hands-on engineer with strong coding depth who can improve reliability through automation, AI enablement, and modern platform engineering practices. This team is moving from reactive operations to autonomous resilience, with a clear focus on AI-enabled detection, response, communication, and prevention, plus automation that reduces manual effort and improves recovery speed.

The role should help advance operational excellence through better workflows, stronger observability, and scalable engineering foundations across production systems.

What you will do

- Design and build workflow automation that removes toil, improves operational consistency, and accelerates incident response
- Develop AI-enabled operational capabilities that improve detection, diagnosis, communication, and recovery workflows
- Build and maintain services, tools, and automations using Python as a primary engineering language
- Use platforms like n8n and adjacent automation tooling to orchestrate operational workflows across systems
- Strengthen observability across metrics, logs, traces, alerting, and service health signals
- Partner with SRE, platform, infrastructure, and service owners to improve resilience, MTTR, and engineering standards
- Identify repeatable failure patterns and turn them into durable automation, guardrails, and self-healing opportunities
- Contribute to DevOps practices including CI/CD, release reliability, infrastructure automation, and production readiness
- Raise the technical bar through design reviews, code quality, operational rigor, and mentoring of other engineers
- Eliminate manual steps in recurring operations processes via AI enablement
- Apply AI to operational workflows such as summarization, triage assistance, intelligent routing, runbook guidance,



anomaly context, and post-incident analysis

Minimum Qualifications

- Software design and hands-on implementation experience
- 8+ years of experience in reliability engineering and automation
- Strong Python development skills, including building automation frameworks, services, APIs, and production-grade tooling
- Robust experience with workflow automation, including event-driven and API-led integrations
- Deep understanding of observability, including logs, metrics, traces, alerting strategy, and operational telemetry
- Strong DevOps background, including CI/CD, infrastructure automation, production support, and release reliability
- Experience working in high-availability or mission-critical environments
- Strong debugging, systems thinking, and incident management instincts
- Ability to work cross-functionally and influence technical direction

Preferred qualifications

- Experience with AIOps, operational intelligence, or AI/LLM-enabled engineering workflows
- Familiarity with incident management, problem management, and post-incident review practices
- Experience integrating across tools used in enterprise operations ecosystems
- Knowledge of SRE practices such as SLIs, SLOs, error budgets, and reliability engineering tradeoffs
- Experience mentoring engineers and leading medium-to-large technical initiatives
- Exposure to cloud-native infrastructure, platform engineering, and resilience automation patterns

Accommodation requests

Expedia 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. Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Infrastructure and Enterprise Engineer III (Gurugram)
🏢 Expedia
📍 Gurugram