Systems Engineer – Transaction (TXN) / POS Vertical – Japanese Speaking

We are looking for a Systems Engineer to support and debug production issues in our Transaction (TXN) / POS vertical. This role sits within the Vertical Applications and Hardware Payments ecosystem, supporting in-store applications, payment devices, cashflow systems, and system accounts.

You will work closely with local APAC stakeholders, local carriers and cross-functional teams to troubleshoot POS, FSI, and transaction-related production issues. Strong Japanese communication skills (written & verbal) are mandatory.

This is a hands-on production support + debugging role (L1–L3), requiring solid technical depth and the ability to understand complex system integrations.

🔧 Key Responsibilities
Debug and resolve production issues related to:

• POS systems
• Transaction (TXN) services
• FSI (Financial Services Integration)
• In-store vertical applications
• Hardware vertical (payment devices, cashflows, system accounts)
• Identify repetitive operational tasks
• Propose or build simple agents/tools to improve support efficiency
• Help integrate automation into daily operations

🧠 Required Skills & Experience

• 5+ years of experience as a Systems Engineer / Production Support Engineer / Application Support Engineer

Strong experience with:

• Java-based applications
• SQL (querying production data, debugging transaction issues)
• Splunk or similar log analysis toolsDebugging APIs and distributed systems
• Hands-on experience with:
• POS systemsPayment devicesTransaction processing platformsSystem integrations
• Experience working in production environments with incident response
• Strong understanding of system dependencies and integrations
• Japanese language proficiency (business to native level) – written & verbal

🌏 Nice to Have

• Experience in Payments, POS, Retail Tech, or FSI domains
• Familiarity with telecom integrations (e.g., device activation flows)
• Experience working with APAC stakeholders (especially Singapore & Japan)
• Prior exposure to automation (scripts, tools, bots for support workflows)
• Knowledge of observability tools (metrics, tracing, alerting)