Technology Consultant

This is a fully remote position, open to applicants in Canada.

📋 Description

• Set up, test, optimize, and oversee management and monitoring tools for TELUS Managed Services.

• Aid in configuring, modifying, updating, and deploying new use cases for the AIOPS platform.

• Execute regular MCP systems development and maintenance to ensure effective communication between AI models and underlying data systems.

• Partner with network engineers, business analysts, and architects to convert managed services requirements into AI and automation workflows.

• Develop and sustain automation workflows that minimize repetitive tasks within the TELUS Managed Services environment.

• Offer technical advice and troubleshooting assistance to technology professionals engaged with TELUS Managed Services.

• Propel the development and integration of AI-driven solutions to improve TELUS Managed Services.

• Assist the Managed Services Transformation program through tool configuration and testing, documentation, and MCP integrations.

⛳️ Requirements

• Solid background in telecom engineering and network operations.

• Practical automation experience.

• Capability and eagerness to swiftly learn and master enterprise toolsets.

• Proficiency in translating network strategies, architectures, and NOC workflows into automated AI/agentic solutions.

• Advanced understanding of IP, firewall, Gigabit Ethernet, MPLS/VPN, QoS, management protocols, and cloud services.

• Practical experience with Python/JavaScript programming, API integrations, Linux/Windows environments, virtualization, and container platforms.

• Ability to prioritize effectively while managing multiple projects concurrently.

• Comprehensive knowledge of telecom industry trends, NOC operations, and emerging AI technologies.

• Experience acting as a technical lead on automation and development projects.

• Over 5 years of experience as a telecom engineer, network developer, or AI solutions consultant in a communications service provider or solution provider environment.

• Bachelor's or Master’s degree in Engineering, Computing Science, Software Engineering, Information Systems, or a related field.

• Government of Canada Security Clearance (Level 2 Secret) is considered a valuable asset.

• Extensive knowledge of software development and advanced machine learning concepts is seen as a great advantage.

• Industry certifications in AI, Cloud (GCP), or Networking (Cisco/Juniper/Palo Alto) are regarded as beneficial.

• Familiarity with ITSM systems, including Incident, Problem and Change management, CMDB, and ServiceNow is viewed as a plus.

🏝️ Benefits

• Bonus provided in addition to the base salary.

• Global team presence across North America, South America, Central America, Europe, Africa, and APAC.

• Equal opportunity and a diverse, inclusive work environment.

• Voluntary demographic survey with confidential information handling.

• Transparency in recruiting privacy policy and personal data processing.