Platform Engineer - AI Workflow Systems
New
Remote, ChinaFull-TimeMiddle
Salary not disclosed
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Job Details
- Required Skills
- Node.jsPythonJavaCI/CDDistributed Systems
Requirements
- Experience in platform engineering, backend systems or distributed systems roles.
- Strong understanding of APIs, system architecture and service-oriented design.
- Experience building shared infrastructure, libraries or internal developer platforms.
- Ability to design scalable systems that support multiple services and teams.
- Strong understanding of workflow systems, orchestration or event-driven architectures.
- Experience working with production systems in fast-moving environments.
- Strong debugging and systems thinking skills across multi-service environments.
- Hands-on engineering mindset with ownership from design through production.
- Strong focus on reliability, maintainability and system consistency.
- Practical, structured and collaborative approach to engineering.
Responsibilities
- Design and build platform components that support AI-driven workflow automation systems.
- Develop shared infrastructure and services for workflow orchestration, state management and execution tracking.
- Build internal platform tools that improve engineering velocity and system consistency.
- Improve APIs, service frameworks and backend standards used across multiple engineering teams.
- Design systems for workflow visibility, tracing, monitoring and operational control.
- Enhance reliability, scalability and performance of core platform services.
- Work closely with product, engineering and operations teams to standardize workflow execution.
- Improve deployment, configuration and runtime management of distributed systems.
- Reduce duplication across services by building reusable platform capabilities.
- Continuously improve platform architecture to support long-term system growth and complexity.
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