Qa Automation Engineer | Mid-Senior | Threat Intelligence

at Nord Security
📍 Vilnius, Lithuania
📍 Kaunas, Lithuania
EUR 39,600-69,600 per year
MIDDLE SENIOR
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Python @ 5 CI/CD @ 3 Algorithms @ 3 Machine Learning @ 3 Data Science @ 3 AWS @ 3 Communication @ 3 Mathematics @ 3 Jira @ 5 QA @ 5

Details

Our Threat Intelligence team is dedicated to providing accurate and timely information on potential threats to our products. Our team of skilled professionals from various fields, including Data Science, Malware Research, Development, and Privacy, are focused on achieving a common goal by utilizing feeds, heuristics, algorithms, and machine learning.

Responsibilities

  • Extending existing test framework by improving it and adding new features;
  • Widening existing test framework support across the organization;
  • Determining the needs of internal client(s), defining and implementing test cases based on acquired knowledge;
  • Supporting and proposing alternatives to potentially failing test processes;
  • Reacting to possible ad-hoc cross-team changes and adapting own work to them;
  • Transparently communicating with both the team and internal client(s).

Requirements

  • Engineer's degree in Computer Science, Data Science, Mathematics, or a related field;
  • At least 4 years of experience working as a Python QA or in a similar role;
  • Firm knowledge of Python, its most popular packages, and testing frameworks;
  • Strong problem-solving and critical-thinking skills with a keen eye for detail;
  • Great communication skills, including written and spoken English;
  • Ability to work individually as well as in a team;
  • Ability to learn quickly and adapt to changes.

Bonus Points

  • Low-level programming knowledge;
  • Knowledge of the most honored testing practices;
  • ISTQB or similar certificate;
  • Experience working with CI/CD-based processes;
  • Experience working with AWS infrastructure;
  • Cybersecurity domain knowledge.

Tools You'll Use

  • Python and IDE of choice;
  • Internal testing framework;
  • GitLab;
  • Jira and Confluence;
  • AWS.