Automation Engineer

TELUS Digital

Automation Engineer leading technical discovery and building automation solutions for TELUS Digital. Collaborating with operations teams and stakeholders to identify automation opportunities.

Posted 8/1/2026full-timeSofia • 🇧🇬 BulgariaMid-LevelSenior💰 €3,500 - €3,750 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying intelligent automation solutions using RPA platforms and Python, with a strong foundation in SQL, API integration, and cloud environments. Proven ability to lead technical discovery and drive stakeholder alignment while measuring the impact of automation initiatives.

Highest-signal resume keywords

RPA Platform ExpertisePython ProgrammingSQL ProficiencyCloud Environment ExperienceAutomation Solution Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAutomation DevelopmentTechnical Solution EngineeringData TransformationAPI IntegrationSystem ArchitectureCI/CD PipelinesContainerizationAI-Driven AutomationStakeholder Alignment

Soft Skills

CommunicationCollaborationLeadership

Tools & Technologies

UiPathAutomation AnywherePower AutomateN8nAWSAzureGCPDocker

Industry Keywords

Intelligent AutomationProduction AutomationOperational EnablementImpact Measurement

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformJavaPythonRPASQL

About the role

Key responsibilities & impact

Lead technical discovery
Design intelligent automation solutions
Build and deploy production automations
Drive stakeholder alignment
Enable operational teams
Measure and quantify impact

Requirements

What you’ll need

Business-level English proficiency (written and verbal)
5+ years of hands-on experience in software engineering, automation development, or technical solution engineering
Expert-level proficiency in at least one RPA platform (UiPath, Automation Anywhere, Power Automate, n8n) and Python (Java or PowerShell, too)
Strong technical foundation in SQL, data transformation, API integration, and system architectures
Experience working in cloud environments (AWS, Azure, or GCP) with containerized workflows (Docker) and CI/CD pipelines
Demonstrated expertise in modern AI-driven automation
Bachelor's degree in Computer Science, Software Engineering, Data Science, or related technical discipline

Benefits

Comp & perks

Flexible working arrangements
Professional development opportunities
Diversity and inclusion initiatives