2 months ago
Software Engineer In Test Team Lead (Python)
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Job description
Text:
TL;DR
Software Engineer In Test Team Lead (Python): Building and leading automation infrastructure for NeuralMesh, an AI-native distributed storage platform, with an accent on scalable test frameworks, system reliability, and large-scale distributed environments. Focus on designing adversarial testing systems, investigating complex failures, and driving release quality across massive AI and GPU clusters.
Location: Tel Aviv, Israel
Company
is a growth-stage technology company developing NeuralMesh, an AI-native data infrastructure and distributed storage platform for enterprise and research workloads.
What you will do
- Lead, mentor, and grow a team of Automation Engineers.
- Design, develop, and review Python-based automation frameworks, tools, and system tests.
- Define the automation strategy and expand scalable coverage across product capabilities.
- Build automation infrastructure for large-scale distributed environments.
- Lead technical investigations, root cause analysis, and quality improvements for complex distributed system issues.
- Partner with R&D, Product Management, Architecture, and Customer Engineering to support release readiness, stability, performance, and reliability.
Requirements
- 8+ years of experience in software development, QA automation, or test infrastructure engineering.
- 3+ years of experience managing software engineering or automation teams.
- Strong hands-on Python development skills, including Python internals and best practices.
- Experience building automation frameworks and test infrastructure from the ground up.
- Experience testing or developing complex distributed systems, with strong Linux and scripting knowledge.
- Excellent debugging, troubleshooting, communication, leadership, and mentoring skills.
Nice to have
- Experience with distributed storage, networking, cloud infrastructure, or Kubernetes.
- Experience with CI/CD tools such as Jenkins or GitHub Actions.
- Knowledge of virtualization and cloud technologies.
- Experience with performance, stress, integration, and end-to-end testing.
- B.Sc. in Computer Science, Software Engineering, or a related technical discipline.
Culture & Benefits
- Hands-on leadership role combining technical execution with people management.
- Ownership-driven environment focused on technical excellence and continuous learning.
- Opportunity to solve complex reliability challenges in AI and GPU-scale infrastructure.
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