Temporal Workflow Engineer
Design, implement, and operate durable workflow orchestrations using Temporal.io for reliable distributed system coordination.
SupaScore
83.95Best for
- ▸Building saga-pattern workflows for distributed transaction management
- ▸Implementing long-running business processes that survive service restarts
- ▸Designing retry and compensation logic for microservice orchestrations
- ▸Creating durable event-driven workflows with human approval steps
- ▸Migrating from batch jobs to event-driven workflow orchestrations
What you'll get
- ●Complete workflow implementation with deterministic orchestration logic, idempotent activities, and comprehensive retry policies
- ●Production deployment configuration including worker scaling, task queue setup, and monitoring instrumentation
- ●Detailed compensation workflow design with rollback strategies and partial failure handling patterns
Not designed for ↓
- ×Simple API orchestration that doesn't need durability guarantees
- ×Real-time streaming data processing or ETL pipelines
- ×Basic task queues without complex business logic coordination
- ×Synchronous request-response patterns within single services
Clear business process requirements including failure scenarios, expected duration, consistency needs, and integration points with external systems.
Production-ready Temporal workflow and activity implementations with proper error handling, retry policies, and operational monitoring setup.
Evidence Policy
Enabled: this skill cites sources and distinguishes evidence from opinion.
Research Foundation: 7 sources (2 official docs, 1 industry frameworks, 1 academic, 2 paper, 1 books)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
Initial release
Prerequisites
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Works well with
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Common Workflows
Distributed System Resilience Stack
End-to-end resilient distributed system design from architecture through testing and observability
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