Application Support & Automation Engineer – Python/Node.js (WFH)

Role: Systems Support & Automation Engineer (ANZ Client) Work Set Up: WFH / Fully Remote Role Objective 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). Key Responsibilities 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. 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. 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. Roadmap Feature Execution: Work off sprint tickets provided by the Product Manager to deliver enhancements, UI adjustments. Data Parsing & Script Optimisation: Maintain and improve custom Python scripts (openpyxl, pandas, JSON parsers) to ensure 100% data accuracy. Documentation & Version Control: Maintain clear technical documentation, API maps, commit histories, and sandbox release notes across GitHub repositories. Technical Requirements Programming & Scripting: Solid working knowledge of Python (core logic, file handling, data parsing) and JavaScript/Node.js for web app support. 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. Browser & UI Automation: Practical experience maintaining Playwright browser scripts or Power Automate Desktop flows for web interface automation. Data Handling: Proficiency with structured formats (JSON, CSV) and Python Excel libraries (openpyxl, pandas). Cloud & Platform Support (Azure): Basic understanding of Microsoft Azure environments (VM hosting, static IP checks, App Services, and environment variables). APIs & Webhooks: Good understanding of REST APIs, HTTP request methods, JSON payloads, and basic authentication protocols. Version Control: Proficiency with Git/GitHub for pull requests, issue tracking, and branch management. Professional Attributes Support-Oriented Mindset: Thrives on troubleshooting, fixing edge-case bugs, and maintaining production stability. AI-First Developer Discipline: Eager to leverage AI tooling (Codex/Copilot) to write cleaner code faster while maintaining strict manual code review standards. Strong Communication: Excellent spoken and written English, comfortable collaborating asynchronously with remote Engineering Leads and Product Managers. High Attention to Detail: Meticulous approach to syntax, schema validation, and sandbox testing before pushing code updates to live systems.