Senior DevOps Engineer

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G-P

πŸ“Remote - India

Summary

Join our leading SaaS-based Global Growth Platformβ„’ team and help clients expand into over 180 countries efficiently. We're a diverse, remote-first company dedicated to breaking down barriers to global business. As a key member of our team, you will leverage your expertise in observability, DevOps, and SRE to proactively reduce outages and ensure rapid detection. You will also play a crucial role in managing remote engineering teams across multiple time zones. We offer competitive compensation and benefits, and the opportunity to expand your skills and help reshape the future of work. We are committed to building and maintaining a diverse, equitable and inclusive culture. We prohibit discrimination and harassment against employees or applicants on the basis of race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other legally protected status.

Requirements

Experience managing remote engineering teams across multiple time zones is a key requirement

Responsibilities

  • Proficiency in observability tools (New Relic, DataDog) for proactive outage reduction and rapid detection
  • Solid understanding of application architectures and networking principles
  • In-depth knowledge of DevOps and Site Reliability Engineering (SRE) concepts
  • Strong grasp of Unix/Linux systems, including system libraries, file systems, and client-server protocols
  • Comprehensive networking expertise encompassing network theory, protocols (TCP/IP, UDP, ICMP, MAC, IP, DNS, OSI), and load balancing
  • Proven experience with containerization and orchestration platforms
  • Hands-on coding experience in Python, TypeScript, or Golang
  • Extensive experience with Infrastructure as Code (IaC) frameworks such as Terraform, CloudFormation, and CDK
  • Demonstrated ability to deliver using CI/CD pipelines (AWS CodeDeploy, GitHub Actions, Jenkins)
  • Significant experience with data streaming technologies (Kinesis, SQS, Kafka)

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