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- ₹6,45,584.61 - ₹21,03,249.11 a year
- Full-time
- Remote
- DevOps
- Java
- AI
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SailPoint IIQ Solution Architect
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- Full-time
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- Azure
- Computer Science
- English
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- Full-time
- Remote
- Azure
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- DevOps
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Senior DevOps Engineer

Gammastack -
Remote

Quick apply

Job details

Full-time
₹6,45,584.61 - ₹21,03,249.11 a year
5 hours ago

Qualifications

CI/CD
Cloud infrastructure
Kubernetes
DevOps
Git
Google Cloud Platform
Java
Microservices
Distributed systems
Terraform
Continuous integration
New Relic
GitHub
AI
Communication skills
Python
Debugging
Identity & access management

Full job description

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

Quick apply

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