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# Workflow Platform Engineer - Temporal

- **Company:** Sofico
- **Location:**  (Gent), Belgium
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Systems Engineering, Microsoft Azure, Software as a Service, Cloud Computing, Python (Programming Language), Windows Workflow Foundation, Private Cloud Environment, Data Logging, Backend, Event Driven Architecture
- **Published:** August 14, 2026
- **Apply:** https://www.adzuna.be/details/5840362067

## About the Role

* Strong senior-level backend or distributed-systems engineering experience in production environments.
 * Hands-on experience with a durable workflow or orchestration engine such as Temporal, Camunda, Conductor, Azure Durable Functions or a comparable technology.
 * A solid understanding of saga patterns, compensating transactions, idempotency, retry mechanisms and event-driven architectures.
 * Strong development skills in Java and/or Python, combined with experience testing and observing long-running, stateful workflows.

Earn bonus points for...

 * Production experience with Temporal.
 * Experience with Java, Quarkus, Python or agentic frameworks such as LangGraph.
 * Experience operating workflow platforms in enterprise, regulated, client-hosted or on-premise environments.

## Description

Workflow Platform Engineer - Temporal who will build the durable workflow foundation behind our agentic solutions and ensure that long-running Miles processes continue reliably, even when systems or individual steps fail. What you'll do...

 * Design, build and operate durable workflows in Temporal that execute business-critical sagas across the Miles and SOFICO AI Cloud ecosystems.
 * Make workflows resilient through idempotency, retries, back-off strategies, compensating transactions and reliable failure recovery.
 * Ensure every execution is traceable and auditable by implementing strong workflow logging, observability, security and operational controls.
 * Build reliable integrations between Temporal, the AI Cloud components and the Miles environments they control, across disparate topologies (SaaS, Private Cloud, On-Prem).
 * Define engineering standards and testing practices for durable execution while sharing your expertise with engineers across the Data & AI team.


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