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Stelle · Medior

DevOps Engineer

DevOps / SRE • Medior • Remote • Vollzeit • Italien Italien

InfluxData, the creator of InfluxDB, is hiring a DevOps Engineer to maintain and extend foundational technologies for highly available, distributed services. The work involves multi-cloud Kubernetes infrastructure driven by GitOps.

Responsibilities

  • ▹Maintain and extend the foundational technologies behind InfluxData's time series platform
  • ▹Design, implement and operate large-scale, multi-cloud, GitOps-driven Kubernetes infrastructure
  • ▹Take part in a low-volume pager rotation
  • ▹Serve as a subject matter expert on Kubernetes and general infrastructure and operational principles
  • ▹Collaborate across multiple engineering teams

Requirements

  • ▹Production-level experience with Kubernetes and its ecosystem (e.g. Istio, Vault and other Cloud Native technologies)
  • ▹Terraform and other automation tooling: automating manual processes or refining automated ones
  • ▹Hands-on experience with production workloads on managed and self-managed Kubernetes platforms and general DevOps patterns (compute, storage, database, network) in AWS, Google and Azure
  • ▹Vocal participation in the team, focused on iterative excellence
  • ▹Methodical troubleshooting, individually and as part of a team

Nice to have

  • ▹Experience maintaining and operating a SaaS environment
  • ▹Experience as an incident commander, engaging multiple groups to resolve critical problems
  • ▹CI/CD experience (the company uses CircleCI and GitHub Actions, but understanding the methodology matters more than the vendors)
  • ▹Success in automating processes
  • ▹Thriving in a remote-first, distributed team
  • ▹Experience with applications written in Go and/or Rust

Soft skills

TeamworkCommunicationMethodical troubleshootingEmpathy and respect when working across teams

What we offer

  • ▹Remote-first, globally distributed workforce

About the company

InfluxData is the creator of InfluxDB, the leading time series platform for collecting, storing and analyzing time series data at any scale. The company is remote-first with a globally distributed workforce.

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