We are seeking an experienced Sr. Test Automation Engineer to act as a functional manager in our team and drive quality assurance initiatives. The successful candidate will have a strong background in test strategy development, E2E test automation, and scale testing. They will we responsible for ensuring that the entire engineering team builds up the resilience and stability of our distributed systems. This role offers an opportunity to make a significant impact on the quality of our products and services.
- Provide guidance to the entire team for end to end test automation.
- Be hands-on in Test Automation development for a new product.
- Develop and implement a comprehensive test strategy, covering E2E automation, scale and soak testing.
- Execute and oversee scale and soak testing scenarios, utilizing device simulators, hardware devices and traffic generators.
- Ensure the stability and reliability of our systems through effective regression testing.
- Apply chaos engineering principles to test distributed systems' resilience, including node failure and control plane partition scenarios.
- Collaborate with the entire teams to integrate and automate testing processes.
- Analyze and report on test results, providing insights and recommendations for improvement.
- Stay updated with industry trends and best practices in testing methodologies.
- Mentor and train team members, fostering a culture of continuous learning and improvement.
- Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred
- At least 5+ years of experience in leadership roles.
- Proven expertise in test strategy development and E2E automation.
- Hands on Test Automation development is a MUST
- Experience with a variety of Test Automation frameworks is a MUST
- Experience with public-cloud and Kubernetes environments is a MUST
- Strong knowledge of scale testing techniques and tools.
- Experience with security testing is a plus.
- Experience with chaos engineering and distributed systems resilience testing.
- Proficiency in using device simulators and traffic generators for scale testing.
- Excellent communication and collaboration skills, with the ability to work cross-functionally.
- Analytical mindset with a problem-solving approach.
- Familiarity with Nokia Quality processes is an advantage.
Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world.
Our recruitment process
We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.
If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.
The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia.
- Corporate Retirement Savings Plan
- Health and dental benefits
- Short-term disability, and long-term disability
- Life insurance, and AD&D – Company paid 2x base pay
- Optional or Supplemental life and AD&D insurance (Employee/Spouse/Child)
- Paid time off for holidays and Vacation
- Employee Stock Purchase Plan
- Tuition Assistance Plan
- Adoption assistance
- Employee Assistance Program/Work Life Resource Program
Similar Jobs
What you need to know about the Montreal Tech Scene
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
