Requirements:

Bachelor's/master’s degree in computer science or computer engineering, or equivalent experience
5+ years of experience in software testing, QA automation, or software engineering
Strong proficiency in Python and scripting for automation
Solid experience with Linux-based environments, including system tools and command-line utilities
Proven understanding of computer networking and modern Linux operating systems
Familiarity with software testing, integration, and system validation practices
Excellent problem-solving, critical thinking, and communication skills
Ability to work independently, manage multiple tasks, and drive technical initiatives
Great interpersonal skills, agility, and determination for success
Fluent English; strong presentation and public speaking abilities

Nice to Haves:

Deep technical know-how and familiarity with networking protocols or low-level system tools
Experience with Docker, KVM, or other virtualization technologies
Knowledge of CI/CD tools (e.g., Jenkins, GitLab CI) and test reporting tools (e.g., Allure, Grafana, Kibana)
Experience with large HW+SW systems and advanced Linux OS technologies
Proficiency with GIT, Bash, and other scripting languages

Develop and Automate Testing: Design, implement, and maintain automated test scripts and frameworks (primarily in Python) to verify the correct functionality of our software products
End-to-End Feature Ownership: Deep dive into feature sets, taking responsibility from test planning through to final implementation and full automation
System & Integration Validation: Validate software functionality and performance through system-level and integration testing, utilizing Linux-based environments and virtualization tools
Test Environment Management: Set up, maintain, and optimize test environments using Linux, Docker, virtual machines, and other modern tools
Collaboration & Communication: Work closely with software, DevOps, architecture, and product teams to define test requirements, coordinate releases, and ensure high-quality product delivery
Continuous Improvement: Drive design verification flows, contribute to methodology improvements, and leverage planning/tracking systems to manage release progress and build release indicators
Defect Analysis: Analyze test results, file defects, and track issues to closure, ensuring robust and scalable solutions