BasetenНовая23 часа назад

Software Engineer - Continuous Delivery

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14 583медиана по профессии
Data Scientist · 21 вакансий с указанной зарплатой
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Полная занятостьУдалёнка

Навыки

GoPythonKubernetesGitOpsArgoCDFluxInfrastructure-as-code

Обязанности

  • 01Design and build continuous deployment infrastructure that safely rolls out changes across dozens of Kubernetes clusters and global regions
  • 02Develop systems for progressive delivery, including canary releases, staged rollouts, and automated rollback
  • 03Improve engineering velocity by reducing friction in the release pipeline and automating manual operational workflows
  • 04Work with product and infrastructure teams to ensure their services are deployable, observable, and resilient at scale
  • 05Implement and evolve deployment methodologies such as GitOps, infrastructure-as-code, and progressive delivery patterns
  • 06Build systems that automatically evaluate deployment health using metrics, logs, traces, and alerts to detect regressions and trigger safe rollbacks
  • 07Interest in building systems that support agent-assisted or autonomous deployment workflows using modern AI tooling

Требования

  • 01Strong-level proficiency in Go and/or Python
  • 02Have worked with Kubernetes-based deployment systems at scale
  • 03Have experience building or operating continuous deployment platforms
  • 04Are familiar with GitOps tooling such as ArgoCD or Flux
  • 05Care deeply about safe production rollouts and minimizing blast radius
  • 06Excellent developer tool culture with a focus on best practices
  • 07Are excited about building foundational infrastructure and are comfortable working independently on ambiguous, high-impact technical challenges

Условия

  • 01Competitive compensation, including meaningful equity
  • 02100% coverage of medical, dental, and vision insurance for employee and dependents
  • 03Flexible PTO policy including company wide Winter Break
  • 04Paid parental leave
  • 05Fertility and family-building stipend through Carrot
  • 06Company-facilitated 401(k)
  • 07Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities