Senior Engineer - Solutions QA

GreyOrange • Python • SQL • 1 month ago
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Salary
≈ $20k – $50k per year (Estimated)
Location
In office (Gurgaon)
Seniority
Senior
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GreyOrange

GreyOrange is a global technology company specializing in AI-driven robotic automation solutions for supply chain, logistics, and fulfillment centers. Their flagship platform, GreyMatter, orchestrates autonomous mobile robots (AMRs) and human workers in real time to optimize warehouse operations and inventory management. By automating complex fulfillment workflows, the company enables major global retailers and logistics providers to improve efficiency, accuracy, and operational throughput.
greyorangerobotics.com • HQ: Suwanee, United States • Transportation & Logistics • Warehousing • Robotics • Logistics & Warehouse Robotics • Est. 2012

We are seeking a highly motivated Senior Engineer - Solutions QA to drive quality assurance initiatives across our warehouse automation and fulfillment solutions. The ideal candidate will possess strong expertise in automation testing, solution validation, customer-facing deployments, and system integration testing. This role requires a blend of technical depth, analytical thinking, and customer engagement skills to ensure successful product deployments and exceptional customer experiences.

Requirements:

  • Strong programming experience in Python.
  • Expertise in PyTest and automation frameworks.
  • Strong API automation experience using REST APIs and tools such as Postman.
  • Good understanding of automation framework architecture and design patterns.
  • Strong SQL skills and database validation experience.
  • Solid Linux/Unix command-line knowledge.
  • Experience with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, etc. ).
  • Understanding of microservices architecture and distributed systems.
  • Strong test design and test strategy skills.
  • Experience creating positive, negative, boundary, and edge-case test scenarios.
  • Strong debugging and troubleshooting capabilities.
  • Ability to work independently in a fast-paced environment.
  • Experience with Docker and Kubernetes.
  • Exposure to cloud platforms (AWS, Azure, GCP).
  • Experience with performance and reliability testing.
  • Prior customer-facing deployment experience.
  • Knowledge of Agile/Scrum methodologies.
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