System Test Analyst

The role of System Test Analyst is located in Ottawa. Ericsson promotes and supports a hybrid workplace environment. This is a full-time, and permanent based position within the Systems, Product & Security (SPS) organization. Your main focus will be testing, troubleshooting, and delivering Ericsson RAN Access Network (RAN) products to our global Customers. You will also be expected to develop your Cloud Native and AI skills to a strong level, while developing innovative solutions that move Ericsson further, along the Digitalization pathway. The ideal candidate should embody the qualities highlighted earlier, together with an engineering background, where one is able to demonstrate strong and proven analytical skills. Teamwork is an integral part of this role, and the candidate should have extremely good communication skills, and be energized working in a strong, team environment. What You Will Do Drive end-to-end system level tests in RAN technologies (5G & 6G). Is the product suitable to release to the Customer? Perform requirement analysis for feature integration and verification. Does the requirement meet what the Customer expects? Perform system level troubleshooting procedures. Is my issue related to product or environment? Deliver software assessments based on a data-driven and analytical approach. Which parts of the data are critical to my decision? Participate in customer validation tests. How well did our tests address the system requirements? Assist in transforming our internal test daily workflows and processes, deploying and using Agentic AI or GenAI solutions, coupled with RAN System Verification knowledge. Am I using AI to deliver value to Ericsson? Develop competence in the technical domain. Am I continually upskilling myself? You Will Bring Bachelor's degree in a related Computer Science or Engineering discipline. A master's degree is an asset Excellent analytical and problem solving/troubleshooting skills Technical skills, including proficiency in Python, with some exposure to LLM interactions using Agentic AI; data analysis and automation experience Experience with Git/Gerrit, Jenkins, and Linux shell scripting Logical and critical thinking skills Self-motivation, and have a can-do attitude Strong team & interpersonal skills Excellent communication skills, both verbal and written Proven Customer-centric approach and mindset, with relevant Customer related experience Additional Assets: Knowledge of, or experience of RAN, NR & LTE is desired Awareness of the Software Development Life Cycle (SDLC) UE simulator test tool knowledge Knowledge of Cloud Native principles Experience working with, or good exposure to Agentic AI, LLMs and Generative AI solutions