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TintriTI

Automation Architect – Quality Engineering

Tintri offers all-flash storage solutions tailored for virtualized workloads, enabling organizations to automate data management and enhance operational efficiency.

Tintri

Employee count: 201-500

FR, DE + 4 more

DataDirect Networks (DDN) is seeking an Automation Architect to lead the next generation of quality engineering for their AI storage platform. This role focuses on writing world-class code, pioneering testing techniques using AI/ML, and building self-service automation for engineers. The ideal candidate will drive adoption of automation best practices and push the boundaries of innovative testing strategies.

Requirements

  • Expert-Level Python
  • Distributed Systems
  • Linux & Storage Systems
  • Performance & Orchestration
  • CI/CD Expertise
  • Observability
  • AI/ML for QA (Preferred)
  • Scripting (Bash is a must)
  • Leadership & Soft Skills
  • Excellent Communicator

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Senior

Location requirements

Hiring timezones

France +/- 0 hours, and 5 other timezones

About Tintri

Learn more about Tintri and their company culture.

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Tintri provides all-flash storage and software solutions specifically built for virtualized workloads. The company replaces legacy storage solutions with advanced technology that automatically manages an organization’s applications, ensuring that databases, virtual desktops, and DevOps workloads perform flawlessly. Customers can plug Tintri into their infrastructures and walk away, benefiting from a solution designed to streamline operations and optimize performance.

With a focus on simplifying data management, Tintri aims to meet the increasing demand for scalable, easy-to-use solutions that can be deployed quickly. The company emphasizes machine-level visibility and synthesized analytics, which help organizations reduce storage management costs significantly. By leveraging autonomous operations combined with real-time insights, Tintri has changed the way organizations operate in complex data environments, allowing for faster development cycles and predictable scaling.

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Tintri

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