AVP - Python Development

This role focuses on automation engineering, system integration, and workflow optimization, with a strong emphasis on transforming manual and Excel-based processes into scalable, platform-driven automation solutions. The successful candidate will contribute to the design, development, and maintenance of automation workflows leveraging Python, Atlas (automation engine), and Glyph (web UI platform). The role supports both BAU stability and new automation initiatives, including integration across finance, operations, and monitoring platforms. This is a hands-on individual contributor role, with no direct people management responsibilities.

The core responsibilities for the job include the following:

Automation and Development:

• Design, develop, and maintain Python-based automation solutions for operational and financial workflows.
• Build and enhance automation workflows using Atlas (automation engine).
• Transform manual processes and macro-based Excel solutions into scalable, production-grade automation.
• Develop reusable components and services to improve automation efficiency and standardization.

System Integration:

• Design, develop, and maintain Python-based automation solutions for operational and financial workflows.
• Build and enhance automation workflows using Atlas (automation engine).
• Transform manual processes and macro-based Excel solutions into scalable, production-grade automation.
• Develop reusable components and services to improve automation efficiency and standardization.
• Integrate automation solutions with enterprise systems using APIs and data interfaces.
• Handle structured and semi-structured data processing, including validation, exception handling, and logging.
• Support integration with platforms such as monitoring tools (e. g., ION, SolarWinds), ticketing systems (e. g., ServiceNow), and finance and workflow platforms

Platform and Web Enablement (Atlas + Glyph):

• Enable deployment of automation workflows into Glyph (web UI layer).
• Support development of features that provide workflow visibility and monitoring dashboards.
• Controlled execution of automation processes.
• Contribute to building a centralized, web-enabled automation platform.

BAU Support and Maintenance:

• Monitor automation workflows and platform health.
• Perform issue resolution, bug fixes, and performance tuning.
• Support incident investigation and root cause analysis (RCA).
• Maintain stability and reliability of production systems.

Project Delivery and Collaboration:

• Work closely with: Project Managers, Business Analysts, and QA/Testing teams.
• Support SIT and UAT phases, including defect triaging and resolution.
• Deliver automation enhancements aligned to business priorities and timelines.

Documentation and Governance:

• Prepare and maintain: Technical design documents, runbooks, and operational guides.
• Ensure solutions meet MUFG IT governance standards and audit and control requirements.
• Implement logging, monitoring, and audit trails within solutions.

Continuous Improvement and Innovation:

• Identify opportunities to automate manual and repetitive processes to improve operational efficiency and resilience.
• Leverage AI-assisted development tools (e. g., GitHub Copilot, Copilot) to improve productivity.
• Contribute to broader AI and automation initiatives within MUS Asia.

Requirements:

• Automate manual and repetitive processes.
• Improve operational efficiency and resilience.
• Leverage AI-assisted development tools (e. g., GitHub Copilot, Copilot) to improve productivity.
• Contribute to broader AI and automation initiatives within MUS Asia.
• 8-10 years of experience in software development or automation engineering in enterprise environments.
• Strong proficiency in Python, with experience in building automation services and backend workflows.
• Hands-on experience in workflow/process automation platforms (e. g., ProcessMaker or equivalent).
• Proven experience replacing Excel macros, Power Query, and EUC tools with scalable automation solutions.
• Experience in system integration, API development, and data processing.
• Operational automation (monitoring, reporting, runbooks).
• Incident handling and support environments.
• Exposure to cloud platforms (e. g., Azure).
• Experience with databases (e. g., MongoDB).
• Familiarity with monitoring/observability tools (Grafana-style).
• Experience with AI-assisted development tools (e. g., GitHub Copilot).
• Bachelor's degree in computer science, engineering, or a related field.
• Strong analytical and problem-solving skills.
• Ability to work independently and in cross-functional global teams.
• Good communication and stakeholder management skills.
• Must-have: Design, develop, and maintain Python-based automation solutions.
• Strong 8+ years of experience with Python backend development.
• Excel/VBA/EUC modernization.
• Strong experience with API integration and hands-on deployment.
• Good to Have: Atlas and Glyph.