Senior QA Automation Engineer (Threat Protection)

As a Senior QA Automation Engineer in Threat Protection at Nord Security, your primary responsibilities include extending the existing test framework, improving its features, and providing support across the organization. You will determine internal clients' needs, implement test cases, and adapt your work to respond to any ad-hoc changes. Effective communication with both your team and clients is key to achieving our security goals.

To qualify as a Senior QA Automation Engineer at Nord Security, you need an engineering degree in Computer Science, Data Science, Mathematics, or a related field, along with at least 3 years of relevant experience in Python QA or a similar role. A strong understanding of Python and its popular packages, accompanied by excellent written and spoken English communication skills, is essential.

In your role as Senior QA Automation Engineer at Nord Security, you'll utilize various tools including Python with an IDE of your choice, our internal testing framework, GitLab for version control, and project management tools like Jira and Confluence. You'll also get to work with AWS infrastructure, enhancing your skills in cloud environments.

Yes, having cybersecurity domain knowledge is highly beneficial for the Senior QA Automation Engineer role at Nord Security. Understanding our products and services, such as NordVPN and its Threat Protection feature, equips you to better design and implement effective testing processes that safeguard user privacy against ever-evolving threats.

Nord Security is committed to the professional growth of its employees, including Senior QA Automation Engineers. You'll have access to both internal and external training events, online courses, conferences, and learning materials to support you in reaching your full potential within the cybersecurity field.

When extending an existing test framework, I start by identifying areas that need improvement and discussing these with the team. I collaborate with stakeholders to gather insights and define requirements before implementing changes. Testing these updates thoroughly ensures that they meet our quality standards.

For failing test cases, I first analyze the logs and reports to determine the root cause, whether it’s related to code, environment, or the test itself. Collaborating with developers and team members, I propose necessary adjustments or alternatives to enhance the testing process and achieve reliability.

I am familiar with a variety of Python testing frameworks including Pytest, unittest, and Robot Framework. Each has its strengths, and I choose the most suitable one based on the project requirements, ease of integration, and the specific testing needs.

Effective communication within a team relies on clarity and active listening. I utilize regular check-ins, encourage open dialogue for feedback, and document discussions in shared platforms like Confluence to ensure everyone remains on the same page throughout the project lifecycle.

Staying updated with the latest testing practices involves continuous learning through attending webinars, participating in online courses, and engaging in forums. I also follow industry-leading blogs and subscribe to newsletters to keep abreast of emerging trends and technologies.

I have extensive experience with CI/CD processes, having integrated automated testing within the deployment pipelines using tools like GitLab CI. This ensures that tests run with every code change, enabling rapid feedback and facilitating a culture of continuous delivery.

Troubleshooting a failing test in production requires a systematic approach. I start by replicating the issue in a controlled environment, check the logs for errors, validate dependencies, and review recent changes in the codebase. Collaborating with the development team is crucial for a prompt resolution.

When facing tight deadlines, I prioritize tasks by assessing their impact on the project goals. I break down the work into manageable parts, focus on high-priority items first, and communicate with my team to ensure alignment and avoid bottlenecks.

Team collaboration is vital to my work as it fosters creativity, shared knowledge, and thorough testing coverage. By collaborating closely with colleagues, we leverage diverse strengths, helping to identify potential issues early and enhance the overall quality of product deliverables.

Yes, I am familiar with AWS infrastructure and have used it to create scalable testing environments. Utilizing AWS services such as EC2 and RDS allows me to replicate production-like conditions for testing, ensuring that our applications perform optimally in real-world scenarios.