S
ShippyPro
ShippyPro ई-कॉमर्स और खुदरा व्यवसायों के लिए शिपिंग प्रबंधन सॉफ़्टवेयर विकसित करता है। इसका प्लेटफ़ॉर्म कई कैरियर से जुड़ी प्रक्रियाओं को एक ही स्थान पर लाता है, जिससे टीमें लेबल बना सकती हैं, दरों की तुलना कर सकती हैं, डिलीवरी ट्रैक कर सकती हैं, रिटर्न प्रबंधित कर सकती हैं और 190 से अधिक कैरियरों तथा 160 देशों में फ़ुलफ़िलमेंट वर्कफ़्लो को स्वचालित कर सकती हैं। कंपनी RESTful API, ERP, WMS, OMS और ई-कॉमर्स प्रणालियों के साथ इंटीग्रेशन, तथा एनालिटिक्स और वित्तीय इंटेलिजेंस टूल भी प्रदान करती है। ShippyPro ऑनबोर्डिंग और SOC 2 Type II तथा GDPR अनुपालन जैसी सुरक्षा सुविधाओं के साथ एंटरप्राइज़ शिपिंग संचालन का समर्थन करता है। इसकी वितरित टीम ऐसे सॉफ़्टवेयर पर काम करती है, जिसे बड़े पैमाने पर डिलीवरी अनुभव बेहतर बनाने और शिपिंग लागत नियंत्रित करने के लिए डिज़ाइन किया गया है।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

  • 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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