Senior Design Specialist, Wireline Performance Engineering

TELUS • Edmonton, AB

8d

About The Position

The Wireline Performance Engineering team is a newly created function within TELUS Network Operations that's driving a fundamental shift in how we understand and optimize our wireline network performance. This is a rare opportunity to join a team building something entirely new. We're establishing data-driven insights into network health, capacity, and performance that will lead to meaningful improvements and make a real difference. You'll work alongside a talented team of engineers with deep networking and data analytics expertise, collaborating across the organization to transform raw network data into actionable intelligence that keeps our network running at peak performance and enables faster incident response. As a founding member of this newly created function, you'll have direct influence over how we define success metrics, tools, and ways of working.

Requirements

• 7+ years of professional experience in network engineering, network operations, or data analytics
• Strong foundational knowledge in IP networking fundamentals and wireline network architecture, OR strong expertise in AI/machine learning and data analytics (we're open to either skillset as a primary strength)
• Proven experience working with large datasets, performing data analysis, and translating complex data into insights and visualizations
• Demonstrated ability to work independently on complex technical problems while collaborating effectively across teams and influencing stakeholders without direct authority
• Experience designing and building dashboards, alerts, or monitoring solutions for technical or operational audiences
• Excellent communication skills with the ability to explain technical concepts clearly to both technical and non-technical audiences
• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field (or equivalent hands-on experience in network engineering or data analytics)

Nice To Haves

• Experience with observability platforms and data collection tools such as Kafka, NiFi, BigQuery, Splunk, Grafana, or similar technologies
• Proficiency in Python, SQL, and data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch)
• Experience with AI/LLM tools and frameworks (such as LangChain, LangGraph, LlamaIndex, OpenAI Agents SDK, or CrewAI) for building generative AI applications, including MLOps/LLMOps, model evaluation, monitoring, cloud AI platforms (Google Vertex AI, Azure AI Foundry, Amazon SageMaker), and responsible AI governance practices
• Familiarity with LLM frameworks such as LangChain, LangGraph, LlamaIndex, OpenAI Agents SDK, CrewAI, or similar

Responsibilities

• Lead the design and implementation of data collection strategies for wireline network devices, working independently to identify data sources and pull insights that inform network performance understanding
• Collaborate with cross-functional performance engineering teams (mobility RAN, mobility core) and frontline operations teams to understand network issues, gaps, and stakeholder needs
• Develop and own performance metrics and thresholds for your assigned network domain, establishing new data-driven insights that drive measurable improvements to network performance
• Analyze complex datasets to identify patterns, anomalies, and root causes of network issues, translating findings into actionable recommendations for operations teams
• Design and present dashboards and alerts to internal teams and external stakeholders, ensuring clarity on what data means and what actions downstream teams should take
• Drive a shift-left strategy for network analytics, defining data requirements and key metrics during the development phase to ensure full observability and performance visibility from the first day of launch.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior