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WekaIO

AI-native data platform for high-performance workloads

Software Test Automation Team Lead

Test Automation EngineeringConfirmed live in the last 24 hours
Full-timeTel Aviv-Yafo, IsraelNo salary listedIn-person

About the Job

Requirements

  • At least 8 years of experience in software development, QA automation, or test infrastructure engineering.
  • At least 3 years of experience managing software engineering or automation teams.
  • Strong hands-on Python development experience, including a deep understanding of Python internals and best practices.
  • Proven experience designing and developing automation frameworks and test infrastructure from the ground up.
  • Experience testing or developing complex distributed systems.
  • Strong Linux knowledge and scripting experience.
  • Strong debugging, troubleshooting, and root cause analysis skills.
  • Experience collaborating closely with software development teams throughout the product lifecycle.
  • Strong communication, leadership, and mentoring skills.

Responsibilities

  • Lead, mentor, and grow a team of Automation Engineers, fostering technical excellence, ownership, and collaboration.
  • Actively design, develop, and review Python-based automation frameworks, tools, and system tests while remaining hands-on.
  • Define and execute the team's automation strategy, ensuring broad and scalable test coverage across new and existing product capabilities.
  • Drive the design and implementation of automation infrastructure for large-scale distributed environments.
  • Collaborate with R&D, Product Management, and Architecture teams throughout the development lifecycle.
  • Lead technical investigations, root cause analysis, and quality improvements for complex distributed system issues.
  • Continuously improve automation methodologies, development processes, and engineering best practices.
  • Support release readiness by ensuring product quality, stability, performance, and reliability.
  • Coach team members through technical guidance, code reviews, career development, and day-to-day leadership.

Desired Qualifications

  • Experience with distributed storage, networking, cloud infrastructure, or Kubernetes environments.
  • Experience with continuous integration and continuous delivery tools such as Jenkins, GitHub Actions, or similar.
  • Knowledge of virtualization and cloud technologies.
  • Experience with performance, stress, integration, and end-to-end system testing.
  • A Bachelor of Science degree 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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