Cloud & Devops Engineer For Ai-Driven Platforms

Pt Hubexo Asia Indonesia; Jawa Barat; On-site; IDR 420,000,000 - 780,000,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Paid time off

Professional development in cloud

Job summary

Pt Hubexo Asia Indonesia is seeking an AI/ML Platform Engineer to design, build, and maintain scalable AI/ML infrastructure in Depok, West Java. You will enable data scientists to train, deploy, and monitor models while optimizing cloud resources and security.

The role requires strong software engineering, DevOps, and cloud expertise, with experience in containerization and MLOps practices. Collaboration with ML teams and ongoing improvement are essential.

Qualifications

• Minimum 5 years of software engineering, DevOps, or MLOps experience.
• Proven experience building and managing cloud infrastructure on AWS, Azure, or GCP.
• Strong understanding of containerization technologies (Docker, Kubernetes).
• Experience with CI/CD tools and methodologies (e.g., Jenkins, GitLab CI, Argo CD).
• Proficiency in scripting languages such as Python, Bash, or Go.
• Familiarity with ML workflows and tools is a strong plus.
• Experience with infra-as-code tools (Terraform, CloudFormation) desirable.
• Excellent problem-solving and communication skills.

Responsibilities

• Design, build, and maintain scalable AI/ML infrastructure and platforms.
• Develop and manage CI/CD pipelines for ML models and applications (MLOps).
• Implement and manage containerization technologies for ML workloads.
• Optimize cloud infrastructure (AWS, Azure, GCP) for performance, cost, and scalability.
• Develop and maintain tools and services for data management, feature engineering, model training, and serving.
• Collaborate with data scientists and ML engineers to understand infrastructure needs.
• Monitor platform performance, identify bottlenecks, and implement improvements.
• Ensure the security and compliance of the AI/ML platform.
• Automate operational tasks and deployments using scripting and IaC.

Skills

DevOps practices

MLOps

CI/CD

Python scripting

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Docker

Kubernetes

Jenkins

GitLab CI

Argo CD

Terraform

CloudFormation

Job description

About the Role

Our client is seeking a skilled AI/ML Platform Engineer to join their growing team in **Depok, West Java, ID**. This role is crucial for building and maintaining the infrastructure that powers our AI and machine learning initiatives. You will be responsible for developing scalable, reliable, and efficient platforms that enable data scientists and engineers to build, train, and deploy models seamlessly. The ideal candidate has a strong background in software engineering, DevOps, and cloud infrastructure, with a passion for supporting cutting‑edge AI technologies. This is a fantastic opportunity to work in a challenging and rewarding environment, contributing to the core infrastructure that drives AI innovation in **Depok**.

Key Responsibilities

• Design, build, and maintain scalable and robust AI/ML infrastructure and platforms.
• Develop and manage CI/CD pipelines for machine learning models and applications (MLOps).
• Implement and manage containerization technologies (e.g., Docker, Kubernetes) for ML workloads.
• Optimize cloud infrastructure (AWS, Azure, GCP) for performance, cost, and scalability of ML operations.
• Develop and maintain tools and services for data management, feature engineering, model training, and model serving.
• Collaborate with data scientists and ML engineers to understand their infrastructure needs and provide solutions.
• Monitor platform performance, identify bottlenecks, and implement improvements.
• Ensure the security and compliance of the AI/ML platform.
• Automate operational tasks and deployments using scripting and infrastructure-as-code tools.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• Minimum of 5 years of experience in software engineering, DevOps, or MLOps.
• Proven experience building and managing cloud infrastructure on AWS, Azure, or GCP.
• Strong understanding of containerization technologies (Docker, Kubernetes).
• Experience with CI/CD tools and methodologies (e.g., Jenkins, GitLab CI, Argo CD).
• Proficiency in scripting languages such as Python, Bash, or Go.
• Familiarity with machine learning workflows and tools is a strong plus.
• Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation) is desirable.
• Excellent problem-solving and communication skills.

Benefits

• Competitive annual salary with performance incentives.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and holidays.
• Opportunities for continuous learning and professional development in cloud