AI - Devops Engineer

Our client is seeking a motivated and talented AI Devops Engineer to join our team in Kuala Lumpur.

What you'll be doing

As part of IT Innovation projects, you will join the AI Factory/Innovation team as an AI DevOps Engineer. You will be responsible

for designing, implementing and maintaining the infrastructures, CI/CD pipelines and environments required for the

deployment and operation of AI solutions in production.

You will work in an agile mode, closely collaborating with AI developers, Data Scientists, architects and CACEIS infrastructure

teams. You will play a key role in the industrialisation of AI solutions and the automation of deployment processes.

As a vibe coding expert, you use generative AI tools (GitHub Copilot, Cursor, Claude, ChatGPT) to speed up the creation of

scripts, IaC configurations, CI/CD pipelines and to quickly resolve production incidents.

Targeted Profile : DevOps Engineer with expertise in MLOps and strong command of vibe coding, able to build and maintain

robust AI infrastructures while automating deployments and ensuring the performance of production solutions.

Design and implementation of Cloud architectures for AI solutions (scalable, secure, optimised)

Deployment and management of infrastructures as Code (Terraform, CloudFormation)

Implementation of CI/CD pipelines for applications and AI models

Expert use of vibe coding to generate scripts, configurations and automations

Automation of deployments and rollbacks (blue/green, canary)

Configuration of monitoring, alerting and observability for AI models in production

Management of environments (dev, staging, production) and access

Optimisation of Cloud costs and performance (GPU, compute, storage)

Support to developers on tooling and DevOps best practices

Technical documentation of infrastructures and procedures

Implementation of DevSecOps practices and security compliance

Sharing of MLOps and vibe coding best practices with the team

What we’re looking for

• Bachelor’s or Master degree in information technology or equivalent
• Minimum 5 years of experience in Devops / SRE

Proven experience in vibe coding with the use of AI tools to generate scripts, configurations and diagnose incidents

Expertise in MLOps and deployment of AI models in production

Proficiency with Cloud platforms (AWS, Azure, GCP) and Cloud AI services

Expertise in Infrastructure as Code (Terraform, CloudFormation, ARM Templates)

Strong command of containerisation and orchestration (Docker, Kubernetes, Helm)

Knowledge of MLOps tools (MLflow, Kubeflow, Weights & Biases, SageMaker Pipelines)

Proficiency in scripting (Bash, Python) and automation

Experience in monitoring and observability (Prometheus, Grafana, ELK, DataDog)

Knowledge of DevSecOps security practices

Secrets and configuration management (Vault, AWS Secrets Manager)

Nice to have: Experience with GPUs and optimisation of AI resources

• Malaysian Candidates Preferred

Soft Skills:

Ability to use AI to quickly diagnose and resolve incidents

Pragmatism: balance between automation and delivery timelines

Rigour in the design and security of infrastructures

Innovative mindset and continuous technology watch

Autonomy and proactivity in identifying issues

Strong service orientation and support to development teams

Collaborative and pedagogical mindset

Responsiveness when dealing with production incidents