Design and execute automated Python tests for Nokia optical communication products at system and solution levels. Develop test plans, validate compatibility with third-party equipment, analyze defects, and produce execution reports. Collaborate with software development teams during release planning and backlog refinement, maintain test assets in Git, and contribute to Agile quality improvements.
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.
NIlightpath
Responsibilities
Your responsibilities
- 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
Lead and develop a Canada Scaled Customer Success team to drive onboarding, adoption, expansion, and renewals via digital scale programs. Hire and coach CSMs, manage KPIs/OKRs, improve processes and tooling, collaborate cross-functionally, and escalate high-stakes customer moments to ensure measurable customer outcomes.
Top Skills:
CRMCs PlatformDigital Engagement ToolsGainsightProduct AnalyticsTotango
Agency • Digital Media • Legal Tech • Marketing Tech • Social Media • SEO
Own a portfolio of clients to maximize retention and growth: run client calls, analyze lead and performance data, spot retention risks and upsell opportunities, coordinate internal teams to deliver on strategy, and contribute process and AI-driven improvements to internal systems.
Software
Lead product and UX strategy for Aha!, driving product vision, discovery, and AI-enabled product development. Build and coach high-performing PM and UX teams, partner with executives and cross-functional leaders to deliver revenue, retention, and customer value across B2B SaaS product portfolios.
Top Skills:
Aha! BuilderAha! DevelopAha! DiscoveryAha! IdeasAha! KnowledgeAha! RoadmapsAha! TeamworkAha! WhiteboardsAI
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
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
