Senior DevOps Engineer

Responsibilities

• Own the reliability, availability, and performance of Sephora's microservices and

production workloads

• Design and improve resilient infrastructure on GCP, with strong emphasis on Cloud Run,

Kubernetes, and containerized services

• Build and maintain observability across logs, metrics, tracing, alerting, and service health

so issues are detected early and resolved quickly

• Improve deployment safety through stronger CI/CD pipelines, release controls, rollback

strategies, and environment consistency

• Lead incident response and production readiness practices, including runbooks,

postmortems, on-call hygiene, capacity planning, and resilience testing

• Reduce operational toil by automating repetitive work and improving tooling for

engineers supporting distributed services

• Partner with development teams to improve the operability, scalability, and fault

tolerance of microservices early in the design lifecycle

• Strengthen cloud security and infrastructure hygiene across IAM, secrets management,

workload hardening, and production safeguards

• Improve service performance, resource efficiency, and cloud cost management without

compromising reliability

• Support architecture and reliability reviews for critical services and high-traffic business

events

Qualifications

• 5+ years of experience in Site Reliability Engineering or closely related DevOps roles with

meaningful production ownership

• Strong experience running production systems on Google Cloud Platform

• Hands-on experience with Cloud Run, Kubernetes, and container-based microservices in

production

• Strong experience with infrastructure as code, particularly Terraform and Terragrunt

• Strong understanding of observability using tools such as OpenTelemetry, Cloud

Monitoring, New Relic, or equivalent systems

• Strong understanding of distributed systems, microservice failure modes, reliability

engineering, and production debugging

• Experience building or improving CI/CD pipelines and release workflows in modern

engineering environments, including GitHub Actions

• Ability to write code and automation in one or more languages such as Python or Java

• Good judgment during incidents and a practical mindset around reliability, recovery, and

risk tradeoffs

• Strong written and verbal communication skills, with the ability to work effectively

across engineering teams

• Experience working with AI tooling and agentic workflows in engineering or operational

environments

• Experience in retail, e-commerce, or other customer-facing environments is a plus

Pay: ₹645,584.61 - ₹2,103,249.11 per year

Experience:

• DevOps: 6 years (Required)
• GCP: 5 years (Required)

Work Location: Remote