Platform & Cloud Infrastructure Lead

HQ/BOS Business Operations; Kuala Lumpur; On-site; MYR 314,000 - 384,000; Full time

Job summary

HQ/BOS Business Operations seeks a senior IT Architect to lead a team delivering scalable, secure platform architectures for learning technologies. You will steer end-to-end design, implement Kubernetes/OpenShift-based solutions on Azure, and drive DevSecOps practices while coordinating with product, security, and data science teams.

The role requires hands-on leadership, architectural governance, and cross‑functional collaboration with external partners to ensure platform reliability and

Qualifications

• Essential: Advanced degree in a relevant IT field.
• Essential: 7+ years in cloud architecture with 3+ years on large Kubernetes platforms.
• Experience with relational and NoSQL databases, search/analytics and caching.
• Azure services including API Management, Blob Storage, networking, security, and monitoring.

Responsibilities

• Lead engineers and architects to deliver resilient IT solutions.
• Define scalable platform architecture for LXP with microservices and containers.
• Oversee CI/CD pipelines, OpenShift operations, and security collaborations.
• Manage data pipelines and real-time/batch data integration.
• Guide AI/ML components within learning platforms and ensure compliance.

Skills

Team management

Leadership

Communication

Stakeholder management

CI/CD automation

Kubernetes/OpenShift

Open edX

Azure

Security/compliance

Education

Master's degree in Computer Science / IT / Computer Engineering

Tools

Azure

Kubernetes

RedHat OpenShift

PostgreSQL

MySQL

MongoDB

Elasticsearch

ClickHouse

Redis

Azure API Management

Open edX

Job description

HQ/BOS Business Operations seeks a senior IT Architect to lead a team delivering scalable, secure platform architectures for learning technologies. You will steer end-to-end design, implement Kubernetes/OpenShift-based solutions on Azure, and drive DevSecOps practices while coordinating with product, security, and data science teams.

The role requires hands-on leadership, architectural governance, and cross‑functional collaboration with external partners to ensure platform reliability and