Associate Software Test Engineer – Machine Learning - Remote

Overview

An Associate Software Test Engineer is needed to join a team focused on developing machine learning-based software for network anomaly detection, with a strong emphasis on automated testing and collaboration.

In Short

• Run and maintain automated test suites using Python and Java.
• Test distributed system components in Kubernetes environments.
• Validate behavior and performance of machine learning models.
• Verify security implementations, including encryption and access controls.
• Execute command-line testing workflows and shell scripts.
• Collaborate with developers to debug and investigate issues.
• Create or improve test documentation and reproducibility steps.

Requirements

• A degree in Computer Science or equivalent practical experience.
• Basic programming skills in Java and Python.
• Familiarity with tools like Git, Gradle, and Jenkins.
• Foundational understanding of Kubernetes and distributed systems.
• Basic knowledge of machine learning concepts, especially neural networks.
• Understanding of security principles, particularly Azure security features.
• Shell scripting skills (bash or similar).
• Self-motivated with the ability to work independently and collaboratively.
• Strong analytical skills and excellent organization.
• A natural curiosity for quality and a drive to uncover edge cases.

Benefits

• Hands-on experience with modern test automation, ML validation, and cloud security.
• Collaboration with experienced engineers and opportunities for mentorship.
• Contribute to a product at the intersection of AI, cybersecurity, and performance monitoring.
• Join a quality-focused team that values curiosity and continuous learning.