ICT Infrastructure Engineer

User Experience Researchers Pte Ltd (Singapore); Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

User Experience Researchers Pte Ltd (Singapore) is seeking a Senior ICT Infrastructure Engineer to lead enterprise AI platform initiatives. You will collaborate with Data Science and Product teams to productionise AI products on on-prem and cloud platforms, ensuring secure, scalable infrastructure and compliant operations.

The role requires hands-on expertise with AI platforms, DevSecOps, MLOps, and container-based deployments, plus experience with IAM and monitoring tools.

Qualifications

• Hands-on experience building enterprise Data Science and AI platforms on AWS or on-premises.
• Experience with DevSecOps, MLOps and/or LLMOps pipelines.
• Knowledge of AI, container services, and Linux environments.
• Familiarity with IaC, automation, and Python tech stacks.
• Experience with IAM and monitoring/observability tools is a plus.

Responsibilities

• Deliver projects within the assigned practice to meet platform availability and resilience requirements.
• Translate business requirements into platform infrastructure designs.
• Design, deploy, and configure resilient, secure AI infrastructure with service providers.
• Ensure compliance with security standards and enterprise policies.
• Act as the point of contact for new AI product initiatives and performance testing.
• Manage AI platform operations and address queries from Data Scientists and PMs.
• Improve runbooks and SOPs and adhere to compliance mandates.
• Enhance AI platform experience through new features and automation.
• Develop reusable services to simplify product development and operations.
• Assist in AI platform design reviews and security improvements.
• Onboard hosting environments by configuring required infrastructure and tests.
• Oversee architecture, resource planning, and hosting across servers, OS, and containers.

Skills

Data Science platforms

DevSecOps

MLOps

LLMOps

Python

IaC

Automation

Security risk management

Linux

Container services

Tools

AWS

Kubernetes

Terraform

CloudWatch

Splunk

Elastic

Entra ID

AWS Cognito

PostgreSQL

Job description

As a Senior Consultant ICT Infrastructure Engineer, you will manage multiple priorities in a fast-paced environment while supporting stakeholder needs and responding effectively to change. Specifically, you are expected to:

• Partner with Data Science and Product Management teams to productionise and host Data Science and AI products on on-premises and cloud-based AI platforms.
• Work with various technology teams, including Platform Architecture and Engineering, Cybersecurity, and Data & Collaboration Platforms, to define requirements and integrate scalable, secure, and compliant AI platforms into the enterprise environment.

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 enterprise architecture and security standards, as well as applicable technology 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 and Standard Operating Procedures (SOPs), and adhere to enterprise and compliance mandates.
• Continually improve the AI platform experience by implementing new features and enhancements.
• Continually simplify product development and operations through automation and the development of reusable services.
• Assist in AI platform design reviews and the improvement of AI, operating system, 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 perspectives 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 is preferred.
• Hands-on experience with Infrastructure-as-Code (IaC), automation, and Python technology stacks is preferred.
• Experience working with Identity & Access Management services, such as Entra ID, AWS Cognito, and AWS IAM, and Monitoring & Observability services, such as CloudWatch, Splunk, and Elastic, is 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.