Senior Software Engineer

Senior/Staff Software Architect (Hands-on | B2B Fresh Food Supply Chain)

Location: The JTC Summit, 8 Jurong Town Hall Road, #18-06,Singapore

Business Focus: B2B fresh food supply chain, F&B merchant ordering platform, supply chain fulfillment

Role Type: Hands-on architecture role — you'll be writing and shipping critical code, not just producing diagrams

FoodMax is scaling from thousands of daily orders toward 10,000+ daily orders, alongside growing complexity across multiple suppliers, multiple warehouses, multi-temperature-zone storage, inventory, picking, delivery, and settlement.

You'll identify the key architectural risks in our current systems, design and drive an incremental evolution roadmap, and personally build out critical modules — safeguarding system stability, data consistency, and engineering velocity as order volume scales.

We're not looking for a consultant-style architect who only produces diagrams and review comments. We need a hands-on architect who owns the full loop — from problem identification and solution design to hands-on implementation and post-launch validation.

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• Deeply understand FoodMax's order, product, pricing, inventory, procurement, warehousing, picking, delivery, after-sales, and merchant settlement flows.
  
• Define core domain objects, boundaries, and state machines, with a focus on order splitting, inventory consistency, fulfillment coordination, and exception compensation.
  
• Design scalable, practical system models tailored to fresh food's unique challenges — high-frequency procurement, tight time windows, non-standard/variable-weight items, stockouts, and loss sensitivity.
  
• Set the technical roadmap for evolving toward 10,000+ daily orders, multi-warehouse operations, and platformization.
  
• Favor incremental, gradual-rollout, observable, and reversible changes over over-engineering beyond current scale.
  

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• Dig into existing code and data flows to identify performance, stability, consistency, and maintainability risks.
  
• Personally design and build critical modules, technical prototypes, and shared infrastructure.
  
• Drive idempotency, retry, compensation, reconciliation, and exception-recovery mechanisms across order, inventory, and fulfillment pipelines.
  
• Plan and lead incremental modernization of legacy systems — rewrite-from-scratch should never be the default.
  
• Own architecture initiatives end-to-end: design, review, implementation, and production outcomes — not just documentation.
  

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• Build capacity models for core pipelines, identifying risks around order-cutoff peaks, batch jobs, message backlogs, database hotspots, and external dependencies.
  
• Establish SLOs, full-chain monitoring, distributed tracing, alerting, and incident diagnosis for core systems.
  
• Drive adoption of rate limiting, graceful degradation, circuit breaking, disaster recovery, backups, and chaos/failure drills.
  
• Establish canary releases, fast rollback, and risk controls for major changes.
  
• Continuously reduce incident rate and MTTR, improving prevention and recovery for critical outages.
  

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• Build a lightweight, effective architecture review and technical decision-record process.
  
• Guide engineering teams on module decomposition, interface design, data modeling, and complex refactoring.
  
• Identify boundaries between shared capabilities and business capabilities to avoid duplicate builds and unmanaged microservice sprawl.
  
• Set technical standards and engineering quality bars, and drive adoption across the team.
  
• Partner with Product, Supply Chain, Procurement, Warehouse, Logistics, and Finance to shape business solutions, translating technical trade-offs into business language.
  
• Use AI coding tools to accelerate legacy code comprehension, validate architecture decisions, generate tests, refactor, and support code review.
  
• Establish quality guardrails for AI-generated code, with particular attention to concurrency, consistency, security, and maintainability risks.
  
• Drive testing, static analysis, code review, CI, and observability practices — never trading stability for short-term delivery speed.
  
• Help the team build a culture where \"AI accelerates delivery, engineering discipline protects quality.\"
  

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• Bachelor's degree or above in Compu