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Open nowFirst seen 15 hours ago

ICT Infrastructure Engineer REQ126-1/2/3

User Experience Researchers Pte.Ltd59 open roles

Where
Singapore
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Your applicationOpen nowICT Infrastructure Engineer REQ126-1/2/3User Experience Researchers Pte.Ltd · Singapore

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The clock on this job

Early applications get read.

12.4% of postings close within 7 days. Measured by our own scanner across the market. User Experience Researchers Pte.Ltd postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.4%7 days
  4. 20.0%14 days
  5. 35.5%30 days
  6. 58.6%60 days
This job: first seen 15 hours ago

User Experience Researchers Pte.Ltd median: 1 days open

The posting

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.
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