Senior Cloud Engineer - AI platforms

Optimum Solutions Pte Ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Optimum Solutions Pte Ltd seeks an experienced AI Platform Engineer to design, deploy and secure scalable AI infrastructure on AWS or on-premises. You will translate business needs into robust platform architectures and work with providers to ensure reliability, security and compliance.

The role involves managing AI platform operations, GitOps pipelines and incident handling across Linux containers. You will contribute to AI/LLM pipelines, automation, and reusable services while aligning with

Qualifications

• Hands-on experience building, securing and operating enterprise Data Science and AI platforms on AWS or 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.
• Experience with Infrastructure-as-Code, automation and Python tech stack preferred.
• Experience with IAM and monitoring/observability tools is advantageous.

Responsibilities

• Deliver projects within 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 AI infrastructure.
• 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.

Skills

AWS

DevSecOps

MLOps

LLMOps

Linux

Python

Automation

IaC

Container services

Security

Tools

AWS

CloudWatch

Splunk

Elastic

Entra ID

AWS IAM

Kubernetes

Job description

• 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 organization’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.

Requirements:

• 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