Senior IT Infrastructure Engineer (Cloud, AI) - #1586

JOBSTER PRIVATE LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

JOBSTER PRIVATE LTD. is seeking an experienced AI Platform Engineer to design, build and operate resilient AI infrastructure.

You will translate requirements into scalable platform designs, implement DevSecOps/MLOps pipelines, and collaborate with Data Scientists and Product Managers. The role involves securing environments (IAM, encryption), leveraging AWS or on-premises deployments, automating with IaC, and ensuring compliance with security standards.

Qualifications

• Hands-on experience building, securing and operating enterprise Data Science and AI platforms on AWS or in on-premises environments.
• Hands-on experience building and operating DevSecOps, MLOps, and/or LLMOps pipelines.
• Hands-on experience with AI and container services, LLM inference and Linux preferred.
• Knowledge of Identity & Access Management services (e.g. Entra ID, AWS Cognito and AWS IAM), and Monitoring & Observability services (e.g. CloudWatch, Splunk and Elastic) are advantageous.
• Knowledge of PostgreSQL, vector databases, object storage, and the processing of structured and unstructured datasets is advantageous.
• Good understanding of AI, application and infrastructure security risks and controls.

Responsibilities

• Deliver projects within the assigned practice to meet platform availability, reliability and resilience requirements.
• Translate business requirements into platform infrastructure designs.
• Work with service providers to design, deploy and configure resilient, available and secure AI infrastructure.
• Ensure compliance with the Authority’s Enterprise Architecture and Security Standards, as well as IM8 and AI Policies.
• Act as the point-of-contact for new AI product initiatives, supporting system design, integration, acceptance and performance testing.
• Manage AI platform operations and address queries from Data Scientists and Product Managers.
• Improve operational runbooks, SOPs and adhere to enterprise and compliance mandates.
• Continually improve AI platform experience by implementing new features and enhancements.
• Continually simplify product development and operations through automation and building reusable services.
• Assist in AI Platform design review and improvement of AI, OS, container and database security standards.
• Onboard hosting environments by designing, setting up, configuring, implementing, testing and commissioning the required infrastructure.
• Manage system architecture, resource planning, platform performance, and hosting across servers, operating systems, and containers, excluding hypervisor and storage layers.

Skills

DevSecOps

MLOps

LLMOps

AI platforms

AWS

Linux

Python

IaC

IAM

Communication

Monitoring

Tools

AWS

Entra ID

Cognito

IAM

PostgreSQL

Vector databases

Object storage

CloudWatch

Splunk

Elastic

Linux

Job description

Key Responsibilities

• Deliver projects within the assigned practice to meet platform availability, reliability and resilience requirements.




• Translate business requirements into platform infrastructure designs.




• Work with service providers to design, deploy and configure resilient, available and secure AI infrastructure.




• Ensure compliance with the Authority’s Enterprise Architecture and Security Standards, as well as IM8 and AI Policies.




• Act as the point-of-contact for new AI product initiatives, supporting system design, integration, acceptance and performance testing.




• Manage AI platform operations and address queries from Data Scientists and Product Managers.




• Improve operational runbooks, SOPs and adhere to enterprise and compliance mandates.




• Continually improve AI platform experience by implementing new features and enhancements.




• Continually simplify product development and operations through automation and building reusable services.




• Assist in AI Platform design review and improvement of AI, OS, container and database security standards.




• Onboard hosting environments by designing, setting up, configuring, implementing, testing and commissioning the required infrastructure.




• Manage system architecture, resource planning, platform performance, and hosting across servers, operating systems, and containers, excluding hypervisor and storage layers.

What we are looking for

• Strong written and verbal communication skills, with the ability to pitch ideas, influence stakeholders and balance strategic perspective with business needs and challenges.




• Ability to assess project and compliance requirements and develop practical, sustainable solutions.




• Hands-on experience building, securing and operating enterprise Data Science and AI platforms on AWS or in on-premises environments.




• Hands-on experience building and operating DevSecOps, MLOps, and/or LLMOps pipelines.




• Hands-on experience with AI and container services, LLM inference and Linux preferred.




• Hands-on experience with Infrastructure-as-Code, automation and Python tech stack preferred.




• Experience working with Identity & Access Management services (e.g. Entra ID, AWS Cognito and AWS IAM), and Monitoring & Observability services (e.g. CloudWatch, Splunk and Elastic) are advantageous.




• Knowledge of PostgreSQL, vector databases, object storage, and the processing of structured and unstructured datasets is advantageous.




• Good understanding of AI, application and infrastructure security risks and controls.