Design and execute automated system- and solution-level tests (Python) for optical pluggable products, collaborate with cross-functional teams in Agile, maintain test scripts in Git, report test execution and defects, and drive continuous QA improvements and compatibility testing with third-party equipment.
As a System Test QA Engineer at Nokia, you'll play a crucial role in ensuring the quality of our cutting-edge optical communication technology. You will design and execute automated test cases using Python, collaborating closely with several cross-functional team of developers and testers to add a System and Solution level test scopes to our SW feature development. You'll write detailed reports on test execution and defect analysis, enabling swift issue resolution. You’ll thrive in our dynamic Agile environment, working alongside passionate colleagues who are committed to innovation in optical communications. Your strong communication skills will empower you to collaborate effectively within our global team, driving quality and efficiency in our products.
- Design and implement comprehensive test plans, creating and executing automated test cases in Python to meet project specifications.
- Collaborate closely with cross-functional software development teams during release scope definitions and backlog refinement ensuring alignment on project goals.
- Explore, plan and execute testing of Nokia optical pluggable products into third party equipment, to ensure Solution level compatibility.
- Generate detailed reports on test execution and defect analysis, improving the reproducibility and resolution of issues to enhance product quality.
- Participate in continuous improvement discussions to promote the adoption of innovative approaches in quality assurance and testing.
- Utilize and integrate version control systems like Git to maintain test scripts and documentation effectively within the agile development workflow.
- Stay updated on optical communication technologies and contribute insights to enhance the team’s approach to testing and quality assurance.
- Extensive Hands-on experience in automated test development using Python.
- Deep Knowledge of optical communication and related technologies.
- Experience and expertise on router configurations and deployments.
- Master’s degree in Computer Science, Engineering, or a related field.
- Effective communication skills for global cross-functional collaboration.
- knowledge in Agile methodologies and Test Driven Development.
Similar Jobs
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Sell Samsara IoT solutions to mid-market Canadian customers ($20k–$100k deals). Manage full sales cycle including prospecting, POCs, trials, multi-stakeholder negotiations, pricing, and executive-level selling to achieve quota.
Top Skills:
Salesforce (Sfdc)
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Lead and grow a data engineering team to build and operate ingestion, transformation, orchestration, and serving layers. Drive data quality, observability, cost efficiency, self-serve analytics, engineering best practices, and cross-functional partnerships to deliver reliable, reusable data products for product, GTM, finance, and CTO stakeholders.
Top Skills:
AirflowBigQueryCi/CdDatabricksDbtLlmSnowflakeSpark
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead and grow engineering teams to design and deliver AI-native ITSM/ITOM products. Own technical strategy, architecture, quality, and delivery; hire and mentor engineers and managers; drive evidence-based experiments, value realization, and cross-functional alignment with Product, Design, Security, Sales, and Customer Success.
Top Skills:
JavaPython
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
