全职 AI - Devops Engineer 工作, 薪水, Abhidi Solution SDN BHD Federal Territory 公司招聘中 - Ricebowl

Job Title: AI - Devops Engineer

Job type: Permanent

Work Location: Putrajaya, Malaysia (Onsite)

Key Responsibilities:

· 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

Required Skills:

· 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

Work Location: In person