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Principal Technology Architect - Wireless Core

Job in Burnaby, BC, Canada
Listing for: Intello Technologies Inc.
Full Time position
Listed on 2026-07-31
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Systems Engineer, AI Business & Operations, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 128000 - 238000 CAD Yearly CAD 128000.00 238000.00 YEAR
Job Description & How to Apply Below

Principal Technology Architect - Wireless Core

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Location:

Burnaby, BC, CA, V5G 4S4

Jobs by Category:
Technology Solutions

Job Function:
Network & Engineering

Status:
Full Time

Schedule:

Regular

Description

Join our team and what we'll accomplish together

As TELUS continues to advance its Wireless Core into a more automated, cloud-native, and resilient environment, this role will be the strategic compass for our network architecture. You’ll partner with senior technical leaders and cross‑functional teams to guide massive modernization initiatives, most notably our complex multi‑vendor migrations, including the transition to a cloud‑native modern 5G Core. Beyond immediate migrations, you will help lay the technological groundwork for the future of our network, introducing AI‑driven automation, advanced telemetry, and intent‑based architecture to move TELUS toward highly autonomous core operations.

What you'll do

Lead the end‑to‑end architecture strategy for the modernization of our Wireless Core, guiding the transition from legacy bare‑metal appliances and proprietary VMs to agile, cloud‑native platforms

Drive the technical execution of complex multi‑vendor migration initiatives, specifically the transition from monolithic, siloed infrastructure to the new 5G Core and modernizing our IoT platforms

Define target‑state architecture principles that support resilience, high capacity, interoperability, and operational efficiency across our six engineering pillars (including reliability, security, scalability, and automation)

Act as a trusted strategic advisor to the Director and engineering managers, resolving complex architectural dependencies and ensuring alignment with long‑term technological roadmaps

Provide technical direction on integrating Machine Learning, AI, and test automation into engineering workflows to drastically reduce manual effort and optimize network performance

Establish advanced telemetry and semantic data requirements that enable improved network visibility, automated anomaly detection, and closed‑loop optimization

Help define the future 'autonomous core' capabilities by exploring intent‑based abstractions and machine‑to‑machine orchestration models to streamline operations

Collaborate across telecom cloud (NFVI), IT, and RAN domains to ensure end‑to‑end alignment and seamless solution integration

Qualifications

What you bring

10+ years experience in telecom architecture, wireless core engineering, and large‑scale multi‑vendor network transformations

Deep, hands‑on understanding of 4G EPC and 5G SA core call flows, protocol stacks (HTTP/2, PFCP, Diameter, GTP) and low level configuration of any network generation component, including IMS/Voice, and network slicing technologies

Proven track record of designing and supporting cloud‑native, distributed, and containerized telecom environments

Experience executing complex core swaps, node migrations, and system acceptance in a Tier‑1 operator environment

Strong background in applying data science, AI/ML, predictive analytics, or automation frameworks to telecommunications environments

Ability to influence senior executive stakeholders and collaborate effectively across technical execution teams without formal reporting lines

Excellent communication skills, with the ability to translate complex technical concepts and financial trade‑offs (TCO) into clear business recommendations

Knowledge of 3

GPP standards, open‑source maturity, and global telecom evolution roadmaps

  • Bachelor/Master's Degree in Computer Science, Electrical Engineering, Telecommunications, Data Science or related field

Great-to-haves

  • Experience with telecom telemetry, deep performance analytics, and building automated data pipelines

Familiarity with generative AI or LLM‑based tools for engineering optimization and operational use cases

Hands‑on experience architecting across on‑premise, public cloud (AWS), and hybrid infrastructure, with a deep understanding of the trade‑offs between cloud specific managed services and cloud agnostice, containerized architectures (Kubernetes, Red Hat Open Shift)

Location:
Any major Canadian city

Salary Range:…

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