Platform Engineer – AI Workflow Systems

BJAK

Platform Engineer designing and building core systems for AI workflow automation at BJAK. Collaborating with teams in Malaysia while fully remote in China.

Posted 6/27/2026full-timeRemote • 🇨🇳 ChinaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

The ideal candidate must demonstrate the ability to design and build scalable, reliable systems while collaborating effectively with cross-functional teams. A strong focus on improving engineering processes and maintaining system consistency is essential.

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Platform EngineeringBackend SystemsDistributed SystemsAPIsSystem ArchitectureService-Oriented DesignWorkflow SystemsOrchestrationEvent-Driven ArchitecturesDebugging

Soft Skills

CollaborationOwnershipStructured ApproachPractical MindsetSystems Thinking

Tools & Technologies

Workflow Automation SystemsInternal Developer PlatformsShared InfrastructureService FrameworksDeployment ManagementConfiguration ManagementRuntime Management

Industry Keywords

Engineering VelocityOperational ControlScalabilityPerformanceReliabilityMaintainabilitySystem Consistency

Tech Stack

Tools & technologies

Distributed Systems

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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.