DevOps Engineer

Amazon • Python • 2 months ago
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Salary
≈ $27k – $69k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 5+ years exp
Overview
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Amazon

Amazon is an American technology and retail conglomerate founded by Jeff Bezos in 1994 as an online bookstore and headquartered in Seattle, Washington. It operates the world's largest online marketplace together with a global logistics network, physical grocery stores and a third-party seller platform that accounts for most units sold. Amazon Web Services, launched in 2006, is the leading public cloud provider and generates the majority of the group's operating profit, while advertising, Prime Video, Alexa devices and Kuiper satellite broadband round out the business.
amazon.com • HQ: Seattle, United States • Cybersecurity • Information Technology • Data & Analytics • Artificial Intelligence • Streaming & OTT Platforms • Media & Entertainment • Sales & Marketing • Advertising • Marketplaces • Cloud Computing • E-commerce Platforms • 5000+ employees • Est. 1994

Responsibilities:

  • Design, build, and maintain scalable Kubernetes-based infrastructure.
  • Develop and optimise CI/CD pipelines to enable reliable and faster software delivery.
  • Automate infrastructure provisioning and operational tasks using Python.
  • Manage cloud infrastructure on AWS and/or GCP.
  • Implement monitoring, logging, tracing, and alerting solutions to improve platform reliability.
  • Collaborate with engineering teams to enhance platform performance, scalability, and security.
  • Drive infrastructure best practices, automation, and operational excellence.
  • Troubleshoot production issues and improve system availability.

Requirements:

  • 5-9 years of experience in DevOps, platform engineering, or cloud infrastructure.
  • Strong hands-on experience with Kubernetes.
  • Experience with AWS and/or GCP cloud platforms.
  • Strong understanding of CI/CD architecture and implementation.
  • Experience with cloud infrastructure design and deployment.
  • Proficiency in Python for scripting and automating.
  • Experience with monitoring, logging, dashboards, and distributed tracing.
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