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ShippyPro
ShippyPro электрондық коммерция және бөлшек сауда компанияларына арналған жөнелтімдерді басқару бағдарламалық жасақтамасын әзірлейді. Оның платформасы бірнеше тасымалдаушыны пайдаланатын операцияларды бір жерге біріктіріп, командаларға жүкқұжаттар жасауға, тарифтерді салыстыруға, жеткізілімдерді қадағалауға, қайтарымдарды басқаруға және 190-нан астам тасымалдаушы мен 160 елдегі орындау процестерін автоматтандыруға көмектеседі. Компания сонымен қатар RESTful API интерфейстерін, ERP, WMS, OMS және электрондық коммерция жүйелерімен интеграцияларды, сондай-ақ талдау және қаржылық интеллект құралдарын ұсынады. ShippyPro SOC 2 Type II және GDPR талаптарына сәйкестікті қамтитын енгізу және қауіпсіздік мүмкіндіктері арқылы кәсіпорындардың жөнелтім операцияларын қолдайды. Оның таратылған командасы жеткізу тәжірибесін жақсартуға және ауқымды деңгейде жөнелту шығындарын бақылауға арналған бағдарламалық жасақтама әзірлейді.

ShippyPro Mid-Level Data Platform Engineer — United States Remote

Build self-service CI/CD, infrastructure-as-code, and governance tooling for ShippyPro’s global shipping platform. Own deployment workflows, reusable pipeline modules, and data-access processes.

Сипаттама

  • Assess current CI/CD pipelines to define requirements for upcoming work
  • Reuse and tailor established CI/CD patterns for new initiatives
  • Expand infrastructure-as-code while following repository conventions
  • Apply data engineering and governance practices to new services, including naming, access control, and retention
  • Create self-service tools based on proven internal patterns
  • Maintain a template repository with CI, infrastructure-as-code, and governance already configured
  • Develop modules that reduce new pipeline creation to a single command
  • Produce documentation that resolves common questions without engineer assistance
  • Manage the request process for access to data resources
  • Own the template repository and infrastructure-as-code modules while shaping their roadmap

Талаптар

  • Have independently managed a deployment path from end to end, including pipeline development, production troubleshooting, and runbook documentation
  • Be able to investigate unfamiliar code, explain its behavior, and spot probable issues
  • Bring approximately two years of professional experience
  • Use Python and SQL confidently in day-to-day work
  • Have practical Docker experience
  • Understand cloud environments well enough that AWS is familiar territory
  • Work comfortably across data engineering, backend development, and infrastructure
  • Use tools such as Copilot, Claude, or Cursor responsibly and explain or defend their generated output
  • Recognize that this position does not include frontend development
  • Recognize that this position is not focused on ML research or model training

Артықшылықтар

  • Meal vouchers available for office-based and remote work
  • Mental health support and fitness benefits
  • Annual learning budget plus access to AI tools
  • Flexible remote work with travel expenses covered for team meetups at headquarters
  • No clock-in or clock-out requirement
  • One-time allowance for setting up a home office
  • One additional day off for your birthday
  • Career Growth Program with defined progression paths, structured objectives, and ongoing feedback

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