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WekaIO

AI-native data platform for high-performance workloads

Software Engineer in Test

Test Automation EngineeringUpdated on Nov 11
Full-timeTel Aviv-Yafo, IsraelNo salary listedIn-person

About the Job

Requirements

  • At least 4 years of hands-on software development or test automation development experience, with a strong focus on Python.
  • Strong Python programming skills, including object-oriented programming and clean coding practices.
  • Experience developing and maintaining automation frameworks, tools, or automated testing solutions.
  • A good understanding of software development principles and testing methodologies.
  • Hands-on experience working in Linux environments.
  • Good debugging, troubleshooting, and problem-solving skills.
  • Ability to work independently on assigned tasks while collaborating effectively within a team.
  • Strong communication skills, curiosity, and willingness to learn.

Responsibilities

  • Design, develop, and maintain Python-based automation frameworks, tools, and system tests.
  • Develop automated tests to validate the functionality, stability, and reliability of WEKA's distributed storage platform.
  • Contribute to the development and improvement of test infrastructure and automation capabilities.
  • Work closely with Software Engineers and other engineering teams to understand product features and develop effective testing solutions.
  • Investigate test failures, debug issues, and assist in root cause analysis.
  • Participate in code reviews and contribute to improving code quality and automation best practices.
  • Support integration, regression, and system-level testing across complex environments.
  • Continuously learn and improve automation methodologies, tools, and engineering practices.

Desired Qualifications

  • Experience working with distributed systems, storage, networking, or cloud infrastructure.
  • Experience with CI/CD tools such as Jenkins, GitHub Actions, or similar.
  • Familiarity with Kubernetes, virtualization, or cloud technologies.
  • Experience with integration, performance, stress, or end-to-end system testing.
  • A B.Sc. in Computer Science, Software Engineering, or a related technical discipline.

About the Company

WekaIO

AI-native data platform for high-performance workloads

WEKA is an AI-native data platform that provides a cloud- and hardware-agnostic software solution for performance-heavy AI, ML, and GPU workloads. The WEKA Data Platform organizes and speeds data across on-premises, cloud, edge, and hybrid environments to turn isolated data into dynamic pipelines. It delivers high throughput and scalable data management to support enterprise AI initiatives and research workloads, helping teams gain faster insights. WEKA differentiates itself with a single scalable platform that works across multiple infrastructure footprints and emphasizes energy efficiency, aiming to simplify and accelerate data-driven AI workflows for large enterprises and research groups while replacing legacy data silos.

Company size
501-1,000
Company stage
Series E
Total funding
$465.1M
Headquarters
Campbell, CA
Founded
2013

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