Senior/Staff Software Architect

Senior/Staff Software Architect (Hands-on | B2B Fresh Food Supply Chain) Location: The JTC Summit, 8 Jurong Town Hall Road, #18-06,Singapore 609434 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 About the Role 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. What You'll Do 1. Business Architecture & Domain Modeling • 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. 2. Core System Evolution & Hands-on Delivery • 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. 3. Stability & Capacity Management • 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. 4. Architecture Governance & Team Enablement • 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. 5. AI-Native Engineering Practices • 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." What We're Looking For Experience • Bachelor's degree or above in Computer Science, Software Engineering, or a related field, or equivalent demonstrated ability. • 8+ years of software development experience, including 3+ years in architecture, core system ownership, or technical leadership. • Strong hands-on coding ability — genuinely willing to stay hands-on, not just produce plans and reviews. • Track record of leading at least one core system evolution, major refactor, data migration, or stability initiative, with measurable before/after results. Architecture & Engineering • Strong complex business-domain modeling skills — able to extract core objects, states, boundaries, and invariants from business rules. • Solid grasp of idempotency, consistency, state machines, reliable messaging, and exception compensation in order, inventory, payment, settlement, or fulfillment contexts. • Deep familiarity with relational databases, caching, message queues, service governance, and observability stacks. • Skilled in capacity planning, performance analysis, incident diagnosis, disaster recovery, and degradation strategies. • Pragmatic judgment to match solutions to actual business scale — avoiding unnecessary distributed complexity and over-engineering. • Understands DDD principles and applies them thoughtfully, without mechanically forcing concepts, layers, or terminology. • Comfortable reading and modifying existing code, and building out critical code paths, prototypes, and shared infrastructure. AI-Ass…