BJAK’s automation systems power end-to-end insurance journeys across quote generation, policy issuance, renewals, endorsements, claims, payments and insurer integrations. These systems depend on a strong platform layer that enables fast, reliable and scalable workflow execution across multiple services.
We're looking for a Platform Engineer based in China to design and build the core platform layer that powers BJAK’s AI-driven workflow systems, enabling engineering teams to ship faster while ensuring reliability, observability and consistency across all services.
This is a fully remote position where you'll collaborate closely with our Malaysia-based engineering, product and operations teams to build the foundational systems behind AI automation at scale.
Build the core platform layer that powers AI workflow automation across BJAK’s insurance systems, enabling scalable, reliable and observable execution of complex business processes across multiple services and domains.
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.
Experience building workflow engines, orchestration platforms or internal developer platforms (IDP).
Experience with event-driven architectures or distributed system design.
Experience with Node.js, Python, Java or similar backend technologies.
Experience with infrastructure tooling, service frameworks or platform APIs.
Familiarity with observability tools (logging, metrics, tracing, alerting).
Experience with CI/CD systems and deployment automation.
Experience working in fintech, insurance or large-scale operational systems.
Experience building reusable backend frameworks or platform abstractions.
Contributions to platform engineering or system-wide architecture initiatives.
Thinks in platforms, systems and reusable architecture rather than single features.
Hands-on engineer who builds foundational systems used by other engineers.
Deep focus on scalability, consistency and long-term maintainability.
Strong systems thinking across services, workflows and dependencies.
Calm and structured when handling complex multi-service issues.
Proactive in reducing complexity and improving engineering efficiency.
Builds systems that enable teams to move faster with confidence.
Engineers who only want to build isolated features without platform ownership.
People who avoid system-level responsibility or cross-service complexity.
Developers who ignore scalability or architectural consistency.
Candidates who require fully defined requirements before building.
Individuals who are not interested in enabling other engineering teams.
You'll be successful if you can:
Build Core Platform Systems – Own foundational infrastructure for AI workflow automation.
High-Impact Engineering – Solve deep system design and platform scalability challenges.
Global Engineering Team – Work with experienced engineers across multiple countries.
Fully Remote – Work remotely from China while collaborating with our Malaysia-based teams.
International Exposure – Build systems used across Southeast Asia markets.
Learning & Development Budget – Support continuous technical growth and platform expertise.
High Ownership Environment – Strong autonomy over platform architecture and design.
Modern Engineering Culture – Focus on scalability, reliability and engineering excellence.
Competitive Compensation – Attractive salary package based on experience and impact.
We assess platform engineering depth, system design ability and multi-service thinking. The process usually includes application review, two interviews and a technical discussion or system design exercise.
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