Make your next big career move by applying as KMC Solutions’ next SYSTEMS SUPPORT & AUTOMATION ENGINEER
The Systems Support & Automation Engineer provides dedicated operational and engineering support for Momentum's custom full-stack applications, automation pipelines, and enterprise integrations. Working directly with the Lead Systems Engineer and Product Manager, this role focuses on maintaining existing systems, resolving bugs/errors, executing technical roadmap features, and supporting production releases.
By leveraging modern AI-assisted engineering workflows (including OpenAI Codex, GitHub Copilot, and Cursor), the candidate will ensure high system availability, rapid issue resolution, and smooth data synchronization across our clinical tech stack (RealTime CTMS, Salesforce PRM, Azure AI).
On top of your salary, here are the exciting benefits you can look forward to:
- 13th Month Pay
- Premium Benefits
- Leave Credits
- Carry over of unused leave credits
- HMO Principal
- HMO Dependent
- Group Life Insurance
The main responsibilities of a SYSTEMS SUPPORT & AUTOMATION ENGINEER include:
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Application Maintenance & Bug Fixing: Maintain, troubleshoot, and refactor existing full-stack web applications (Python/Node.js/UI) used for CTMS visit templates, study shells, and eSource setups. Identify root causes of execution errors and deploy clean code patches.
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AI-Assisted Development (Codex / Copilot): Actively utilize developer AI tools (OpenAI Codex API, GitHub Copilot, Cursor) to accelerate bug diagnostics, write unit tests, automate boilerplate code, and implement roadmap feature requests efficiently.
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Workflow Monitoring & Issue Escalation: Perform daily health checks on automated pipelines across Power Automate Cloud/Desktop and Playwright browser adapters. Manage error logs, sync alerts, and API failure recovery protocols.
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Roadmap Feature Execution: Work off sprint tickets provided by the Product Manager to deliver enhancements, UI adjustments.
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Data Parsing & Script Optimisation: Maintain and improve custom Python scripts (openpyxl, pandas, JSON parsers) to ensure 100% data accuracy.
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Documentation & Version Control: Maintain clear technical documentation, API maps, commit histories, and sandbox release notes across GitHub repositories.
To apply, you must be an expert on the following requirements:
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Programming & Scripting: Solid working knowledge of Python (core logic, file handling, data parsing) and JavaScript/Node.js for web app support.
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AI Developer Stack: Hands-on experience or strong familiarity with AI coding assistants, specifically OpenAI Codex, GitHub Copilot, Cursor, or similar LLM-driven IDE tools for accelerated debugging and development.
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Browser & UI Automation: Practical experience maintaining Playwright browser scripts or Power Automate Desktop flows for web interface automation.
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Data Handling: Proficiency with structured formats (JSON, CSV) and Python Excel libraries (openpyxl, pandas).
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Cloud & Platform Support (Azure): Basic understanding of Microsoft Azure environments (VM hosting, static IP checks, App Services, and environment variables).
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APIs & Webhooks: Good understanding of REST APIs, HTTP request methods, JSON payloads, and basic authentication protocols.
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Version Control: Proficiency with Git/GitHub for pull requests, issue tracking, and branch management.
It will also be favorable if you are knowledgeable in:
- Experience troubleshooting complex production issues and maintaining application stability.
- Familiarity with AI-assisted development tools such as OpenAI Codex, GitHub Copilot, and Cursor.
- Strong verbal and written English communication skills, with experience collaborating in remote or distributed teams.
- Excellent attention to detail in code quality, testing, debugging, and validation processes.
- Ability to work independently and manage priorities in a fast-paced engineering environment.
- Experience with quality assurance practices, including sandbox testing and release validation.
IT - Engineering Support
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