UiPath Senior Developer

Role

UiPath Senior Developer

Location

Montreal, CA, 3 days in week in office is must

Duration

6+ Months

Job Description

Liaise with business users across locations to understand/document business requirements, detail the use cases & propose solution options for automation.

Own deliverables across the automation journey to ensure the automation use cases and scenarios are properly documented & analyzed.

Develop & deliver process automations using RPA tools like UI Path & other surface automation toolkits available.

Work with multiple stakeholders for prioritization and tracking of requirements.

Design solutions which are flexible to incorporate changes and are scalable.

Own product roadmaps, create & manage project plans, call out risks & issues proactively, report progress against the plan & track associated project benefits.

Ability to wear multiple hats including but not limited to Business Analyst, UI Path Developer, Project Manager, Tester & Business User.

Monitors and measures the effectiveness of the digital robots and creates reports on the impact of the robotic solution.

Required Skills

• Minimum 5-8 years of experience with software development and RPA technologies.
• In-depth knowledge of RPA Life Cycle, UiPath Framework, Orchestrator, Studio, Studiox, Task Capture, Workflow Analyzer, Custom Activities, etc.
• Experience in Document Understanding AI Center based projects.
• Basic understanding of entity extraction from the OCR documents.
• Knowledge of PEGA, Microsoft Power Automate.
• Understands data structures and follows coding best practices, naming conventions, error handling, logging, and commenting.
• Demonstrated experience in all phases of the RPA life cycle - requirements capture, definition & solution design, architecture design, build, configuration, testing and operational transition.
• Familiarity with RPA best practices such as PDD / SDD, Unit Test Cases, Code Quality, Development Standards etc.
• Excellent written, verbal communication and organizational capabilities.
• Ability to take ownership & effectively manage multiple assignments and priorities.
• Ability to communicate effectively and confidently across all levels.
• Ability to handle pressure, effectively prioritize and handle multiple tasks with a high level of accuracy.

Desired Skills

• A good team player.
• Demonstrated experience in delivering Machine Learning & Artificial Intelligence use cases for the Banking / Finance industry.
• Working knowledge of industry recognized automation toolkits.
• Working knowledge of Data Analytics & ability to use data analytic tools for decision making.
• General knowledge of process improvement frameworks (Lean, Value Stream Mapping; and or exposure to process management and automation tooling (Celonis, UiPath).

L!-CEIPAL