Lead Software Engineer – AI Workflow Automation

BJAK

Lead Software Engineer designing AI-powered workflow automation systems for insurance. Collaborate remotely with teams across Southeast Asia and create impactful solutions at scale.

Posted 6/27/2026full-timeRemote • 🇨🇳 ChinaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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

The ideal candidate must demonstrate strong technical leadership in delivering complex AI-driven systems while effectively collaborating with cross-functional teams. A focus on system reliability, scalability, and operational stability is essential, along with the ability to mentor others and uphold high engineering standards.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI-Driven Workflow AutomationBackend SystemsDistributed SystemsSystem ArchitectureAPIsEvent-Driven ArchitecturesWorkflow-Based ArchitecturesCode Quality ReviewIncident ResponseRoot Cause Analysis

Soft Skills

Technical LeadershipStrong CommunicationCalm Under PressureHigh Ownership MindsetExecution and Follow-ThroughJudgment on Technical Trade-OffsCollaborationMentoringProblem-SolvingAlignment with Business Needs

Tools & Technologies

Monitoring ToolsDebugging ToolsIncident Management SystemsProduction Release ToolsWorkflow Orchestration ToolsAutomation ToolsVersion Control SystemsContinuous Integration/Continuous Deployment (CI/CD) ToolsCloud PlatformsContainerization Technologies

Industry Keywords

Insurance ProcessesClaims ProcessingPolicy IssuanceOperational WorkflowsSystem LogicScalabilityReliabilityRisk ControlCross-Functional EnvironmentsEngineering Standards

Tech Stack

Tools & technologies

Distributed Systems

About the role

Key responsibilities & impact

Lead delivery of AI-driven workflow automation systems from design to production.
Translate complex operational and business processes into clear system architecture and engineering execution plans.
Design backend workflows for multi-step insurance processes including approvals, claims, policy issuance and document handling.
Define and implement system logic for state transitions, workflow orchestration and automation rules.
Review architecture, code quality and implementation to ensure scalability, reliability and correctness.
Mentor engineers and raise engineering standards across system design, coding quality and delivery discipline.
Work closely with product, operations, QA and DevOps to deliver complete end-to-end systems.
Improve system reliability through monitoring, debugging, incident response and root cause analysis.
Ensure smooth production releases with strong focus on operational stability and risk control.

Requirements

What you’ll need

Strong software engineering experience building production-grade backend or distributed systems.
Proven experience leading technical delivery of complex systems or platforms.
Ability to break down operational workflows into scalable system designs and architectures.
Strong understanding of backend systems, APIs, and event-driven or workflow-based architectures.
Hands-on engineering capability with willingness to contribute to code and system implementation.
Strong judgment on technical trade-offs, system complexity and delivery risks.
Experience working closely with product and operations teams in cross-functional environments.
Strong communication skills and ability to align technical decisions with business needs.
Calm under pressure when handling production incidents or tight delivery timelines.
High ownership mindset with strong execution and follow-through.

Benefits

Comp & perks

Build Core Automation Systems – Own AI-driven workflow infrastructure powering insurance operations.
High-Impact Engineering – Solve complex real-world system and automation problems at scale.
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 development.
High Ownership Environment – Strong autonomy over architecture and system decisions.
Modern Engineering Culture – Focus on quality, reliability and operational excellence.
Competitive Compensation – Attractive salary package based on experience and leadership impact.