Engineer II - RPA

HedgeServ (Philippines) LLC – Manila Branch

Manila

On-site

PHP 669,600 - 892,800

Full time

14 days+

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Job summary

HedgeServ (Philippines) LLC – Manila Branch is looking for an RPA Engineer responsible for designing and maintaining automation solutions using Microsoft 365 and the Power Platform. The role requires strong technical skills in SharePoint, Power Apps, and .NET programming.

Candidates should have a four-year degree or equivalent experience, along with at least 5 years of hands-on experience in automation development. The position emphasizes collaboration and problem-solving in a fast-paced environment.

Qualifications

  • Minimum 5 years of experience with Microsoft Power Platform and Dataverse.
  • Strong programming skills in Python and/or .NET (C#).
  • Hands-on experience with SharePoint Online.

Responsibilities

  • Develop new automations and enhance existing ones.
  • Troubleshoot and resolve user issues.
  • Collaborate with teams to identify automation opportunities.

Skills

Automation development
Problem-solving
Python programming
.NET (C#) programming
Microsoft365 and SharePoint
API integration

Education

Four-year degree in Computer Science or Information Systems

Tools

Microsoft Power Platform
GitHub
OCR/IDP platforms

Job description

Department Overview

The RPA Engineering team maintains the process automation tools, develops and implements new automations, and resolves requests or issues raised by the business for existing automations.

Job Description

The RPA Engineer will be responsible for designing, developing, maintaining, and enhancing solutions built on Microsoft 365, SharePoint and the Power Platform (Power Apps, Power Automate, Power BI, and Dataverse) to streamline business operations and improve user experience. The role also includes delivering AI-enabled and agentic automation capabilities—leveraging tools such as Copilot, and orchestration patterns that allow workflows to reason, route, and act with human‑in‑the‑loop controls.

This position requires strong technical expertise in SharePoint architecture and adoption, Power Platform development and governance, integration with APIs, and various data sources. The engineer will have the ability to analyze and resolve issues in a fast‑paced environment while ensuring security, compliance, and responsible AI practices are optimal.

Key Responsibilities
  • Develop new automations and enhance existing ones based on stakeholder requirements
  • Troubleshoot and resolve issues logged by users in a timely and effective manner
  • Participate in ideation, planning, testing, and rollout phases of automation projects
  • Create and maintain comprehensive documentation for solutions and processes
  • Test new automation features and provide constructive feedback
  • Collaborate with cross‑functional teams to identify automation opportunities and assess feasibility
  • Evaluate and implement AI tools that complement RPA solutions; design and integrate AI capabilities into automation workflows, including Intelligent document processing (IDP) and Natural language processing (NLP)
Required Qualifications
  • Four‑year degree in Computer Science, Information Systems, or a related field (or equivalent experience)
  • Minimum 5 years of experience delivering automation using the Microsoft Power Platform (Power Apps, Power Automate, Power BI) and Dataverse
  • Strong programming skills in Python and/or .NET (C#)
  • Hands‑on experience with Microsoft365 and SharePoint Online (information architecture, permissions, sites/lists/libraries) and familiarity with governance and customization (e.g., SPFx)
  • Understanding of version control systems like GitHub or Code Build
  • Experience working in teams who value unit and acceptance testing, and familiarity with test automation tools and frameworks
  • Excellent analytical and problem‑solving skills
  • Experience considered an advantage: AI/ML frameworks and libraries (e.g., using Copilot Studio, Azure OpenAI Service, or equivalent)
  • Experience with OCR and IDP platforms (e.g., using Azure AI Document Intelligence (Form Recognizer), UiPath Document Understanding, Amazon Textract)
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