SAP Engineer - FICO

北京汉克时代科技有限公司

Kuala Lumpur

On-site

MYR 90,000 - 130,000

Full time

8 days ago
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Job summary

北京汉克时代科技有限公司 in Malaysia seeks an experienced FICO Operation Engineer to maintain system health, resolve blockers, and meet SLAs. You will analyze incidents, trace SQL and SAP SD/PP transactions, and contribute to AI-driven automation by turning diagnostics into agents.

The role requires Python, Java understanding, and ERP/finance workflow knowledge, with strong communication for stakeholder updates.

Qualifications

  • Bachelor's degree in Computer Science, AI, Software Engineering, IT, Data Analytics, or related field.
  • Strong ownership of tickets, queue health, and SLAs with a systematic troubleshooting approach.
  • Solid Python fundamentals for automation scripts and agent tooling.
  • Ability to read and understand Java code flow and error stack traces for in-house systems.
  • Relational database querying (SQL) understanding.
  • Clear communication to provide incident updates to stakeholders and collaborate with senior engineers.
  • Experience building AI agents, LLM integrations, or automated diagnostic tools preferred.
  • Experience with Python web frameworks (FastAPI/Flask) or data analysis libraries (Pandas) preferred.
  • Basic ERP/finance workflow knowledge preferred.

Responsibilities

  • Manage the daily incident queue, investigate system errors, and resolve blockers within SLAs to keep global operations running.
  • Trace data mismatches, posting failures, and transaction flows across SAP S/4HANA Finance (FICO) and SD/PP modules to pinpoint root causes.
  • Read and analyze error logs, stack traces, and code paths across internal Java platforms to isolate defects.
  • Translate incident scenarios into tools and workflows for internal AI agents to accelerate resolution.

Skills

Python programming
SQL
Incident management
Java code understanding
Communication

Education

Bachelor's Degree in Computer Science or related

Tools

FastAPI/Flask
Pandas
APIs

Job description

As a FICO Operation Engineer, you are the analytical backbone of daily operations. You will maintain system health, resolve transactional blockers, and meet strict operational SLAs. As you master operational workflows and failure modes, you will channel that frontline knowledge into helping build internal AI agents, turning manual root-cause investigations into intelligent, automated workflows.

Key responsibilities

Manage the daily incident queue, investigate system errors, and resolve operational blockers within defined SLAs to keep global business operations running smoothly

Trace data mismatches, posting failures, and transaction flows across SAP S/4HANA Finance (FICO) and integrated supply chain modules (SD/PP) to pinpoint root causes

Read and analyze error logs, stack traces, and code execution paths across self-developed internal Java platforms to isolate software defects

Translate real-world incident scenarios and diagnostic patterns into tools, prompt logic, and workflows for internal AI agents, actively helping develop agents that automate log analysis and accelerate ticket resolution

About you

Bachelor's Degree in Computer Science, Artificial Intelligence, Software Engineering, Information Technology, Data Analytics, or a related discipline

High sense of ownership over tickets, queue health, and SLAs with systematic troubleshooting approach

Solid programming fundamentals in Python for automation scripts and agent tooling

Ability to read and understand Java code flow and error stack traces for troubleshooting in-house systems

Practical understanding of relational databases and querying (SQL)

Clear, structured communication skills to provide concise incident updates to business stakeholders and collaborate effectively with senior engineering teams

Hands‑on university, internship, or personal project experience building AI agents, LLM integrations (API tool/function calling, RAG), or automated diagnostic tools (preferred)

Experience with Python web frameworks (FastAPI/Flask) or data analysis libraries (pandas) (preferred)

Basic conceptual knowledge of ERP systems, accounting/finance workflows (preferred)

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