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Metaprise

Posted 6 months ago

Open

State Machine Engineer

ShenzhenRemoteFull-time

AI Summary

State Machine Engineer at Metaprise builds and evolves enterprise-grade workflow engines, state machines, and async orchestration for finance domain processes like invoices, payments, and contracts.

About this role

About Us
At Metaprise, we’re building the world’s first Financial Operating System — an AI Agent–powered platform that unifies Accounts Receivable, Accounts Payable, Contract Management, SmartFlow Automation, and Cash Management into a single intelligent hub. We help enterprises eliminate operational gaps between financial tools, giving them total control over data flow and cash flow. Backed by real customers in the US and global expansion momentum, we’re scaling fast and looking for builders who thrive in high-growth, high-impact environments.

Requirements

  • A. State Machine/Workflow Engine Direction (Strong Priority)
  • You have done at least one of the following:
  • Have designed or modified workflow engines (BPM/Orchestrator)
  • (Such as Activiti/Camunda/Zeebe/Temporal/self-developed engine)
  • Have built a Task scheduling system (Task Engine/Job Engine)
  • Designed a plug-in node system (Plugin Architecture)
  • Has implemented complex business process orchestration (Event-driven/Saga Pattern)
  • Have worked on stateful logic and compensation mechanisms in banking/clearing/trading systems
  • Key words: State transition, Saga, idempotence, retry strategy, compensation transaction, message consistency, replay log, lifecycle modeling
  • B. Distributed Systems & High Concurrency Direction (Can be regarded as a core advantage)
  • You should at least be familiar with
  • Distributed consistency, concurrent control, and lock mechanism
  • Distributed Transactions (TCC/Saga)
  • High concurrency service (QPS over 100,000)
  • Message queues, idempotence, delayed tasks, event-driven architecture
  • Self-developed frameworks or highly complex system components
  • Key words: Sharding, high reliability, high consistency, distributed scheduling, Event Sourcing, CQRS
  • C. Semantic Model/Knowledge Graph (suboptimal, but highly desirable)
  • Not mandatory, but bonus points:
  • RDF / OWL / SPARQL
  • Business Object Modeling (Ontology Modeling)
  • Graph Schema design
  • Semantic reasoning (Inference Engine

    • Responsibilities

  • 1. Enterprise-level State Machine Design (FSM/Lifecycle Design
  • define the business objects (Invoice/Payment/Contract/Flow Instance) life cycle
  • Design the state Transition Table (Transition Table
  • Implement Guard, Side Effects, Rollback, and Compensation
  • Ensure that the process is deterministic, auditable and replayable
  • 2. Workflow Execution Engine (Orchestrator Runtime)
  • Implement an execution framework similar to Temporal/Camunda
  • Support the Plugin Nodes system
  • Handle concurrency, retry, idempotence, and compensation logic
  • Supports asynchronous execution and event-driven (Webhook/Queue)
  • Support simultaneous operation of multiple versions of processes (Workflow Versioning)
  • 3. Node execution Lifecycle and plug-in architecture
  • Logic Nodes (Conditional Judgment, Branching, Merging)
  • Integration Nodes (API/Bank/ERP)
  • AI Nodes (LLM plugin nodes, supporting JSON Schema validation + Fallback)
  • 4. High Reliability Execution Model (Tech Safeguards)
  • Optimistic Lock/Version Vector (to prevent concurrent conflicts)
  • Anti-Corruption Layer (Agent Output Sanitization)
  • Async State Pattern (to avoid freezing)
  • Schema Evolution / Versioning Strategy
  • 5. Collaborate with the semantic model (Ontology)
  • Work with semantic engineers
  • Abstract the business objects as Graph Schema
  • Make process decisions based on semantic layer rules
  • In the future, SPARQL-based inference will be supported to trigger process migration

    • Skills

    ActivitiAnti-Corruption LayerAsynchronous ExecutionAsync State PatternBanking/clearing/trading SystemsBPM/OrchestratorCamundaCompensation MechanismsCompensation TransactionCQRSDelayed TasksDistributed SchedulingDistributed SystemsDistributed TransactionsEvent-drivenEvent SourcingFallbackFSMGraph Schema DesignHigh ConcurrencyHigh ReliabilityIdempotenceInference EngineJob EngineJSON Schema ValidationLifecycle DesignLifecycle ModelingLLM Plugin NodesMessage ConsistencyMessage QueuesOntologyOntology ModelingOptimistic LockPlugin ArchitecturePlugin NodesQPS Over 100000Replay LogRetry StrategySagaSaga PatternSchema EvolutionSelf-developed EngineSemantic ReasoningShardingStateful LogicState TransitionTask EngineTCCTemporalTemporal/CamundaVersioning StrategyVersion VectorWebhook/QueueWorkflow VersioningZeebe

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