Job Description

About the role

HCL Tech is seeking a motivated and talented AI Devops Engineer to join our team in Kuala Lumpur. As a Senior Java Developer, you will be responsible for designing, developing, and maintaining high-quality software applications using Java technologies. This full-time position offers the opportunity to work on cutting-edge projects and collaborate with a dynamic team of professionals.

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)
CI/CD expertise (GitLab CI, GitHub Actions, Jenkins, Azure DevOps)
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