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Workfusion RPA Developer – Digital Worker

Job in Toronto, Ontario, C6A, Canada
Listing for: Apptoza Inc.
Full Time position
Listed on 2026-08-06
Job specializations:
  • Software Development
    Data Engineering
Job Description & How to Apply Below
Toronto

hybrid

MUST HAVE

Skills:

Workfusion Certified ML Developer

Strong experience in Workfusion ODF

Roles and responsibilities:

Experience with Workfusion SPA implementations on 10.x, (must have)

Experience with UiPath or Power Automate implementations.

Understand requirement from product owners and translate into requirement and scope documents

Experience in automation space, Should be able to lead the different streams and provide necessary architectural experience in building complex automation logics

Experience in design, develop automated solutions using Workfusion SPA. Must be able to work on designing and developing best solutions on Workfusion SPA

Ability to estimate and size the requirements and provide exact fit and cost effective estimations on new initiatives.

Experience in Java/J2EE and Selenium is an added advantage.

Experience in implementing best practices and perform code reviews automation solutions.

Assist team teams to build test cases and support with testing the solution

Coordinate with Upstream, Downstream and other supporting teams for production implementation

Provide post-production support for Solutions implemented

List of skills that are commonly required for Workfusion Development:
Technical

Skills:

Proficiency in Work Fusion tool and understanding of RPA (Robotic Process Automation) principles using Workfusion

Understanding on Git Repo

Understanding of Workfusion ODF 2 Framework.

Knowledge of cloud-based setup, services and challenges.

Experience with AI and machine learning concepts, as they relate to process automation.

Knowledge of data analysis and workflow design.

Knowledge of basic unix and linux.

Analytical

Skills:

Strong problem-solving abilities to troubleshoot and optimize automated processes.

Capability to analyze business processes and identify automation opportunities.

Skill in data interpretation and making data-driven decisions.

Soft Skills:

Excellent communication skills to interact with stakeholders and team members.

Ability to work collaboratively in a team environment.

Strong organizational skills to manage multiple tasks and priorities.

Business

Skills:

Understanding of business operations and how they can be improved through automation.

Knowledge of industry-specific regulations and compliance standards.

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