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Open nowPosted today

Senior Consultant

MyCareersFuture94,028 open roles

Pay
SGD 10,500 – SGD 20,000 a Monthly
Where
Singapore
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Your applicationOpen nowSenior ConsultantMyCareersFuture · Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on MyCareersFuture's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.7% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted today

The posting

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 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.
  • Implement comprehensive infrastructure security controls and compliance requirements through Terraform code, following AWS security best practices and regulatory standards.
  • Create and maintain detailed documentation, coding standards, and reusable Terraform modules for cloud infrastructure components.
  • Provide technical leadership and mentorship on Terraform best practices, code reviews, and infrastructure design patterns.

Requisites

  • Strong written and verbal communication skills, with the ability to pitch ideas, influence stakeholders and balance strategic perspective with business needs and challenges.
  • At least 15-20 years in Cloud Solutioning out of which 5+ years in building and maintaining AI platforms on Cloud Infrastructure
  • Hands-on experience building, securing and operating enterprise Data Science and AI platforms on AWS or in on-premises environments.
  • Ability to assess project and compliance requirements and develop practical, sustainable solutions.
  • 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.
  • Deep expertise in AWS services and architecture, including but not limited to EC2, VPC, IAM, S3, RDS, Lambda, CloudFormation, and AWS Organizations.
  • Proven experience implementing AWS Landing Zones and multi-account strategies using Terraform.
  • Strong proficiency in scripting languages, particularly Python and Bash, for automation and integration with Terraform workflows.
  • Comprehensive understanding of AWS security services, compliance frameworks, and infrastructure security best practices.
  • 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
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  1. A CV for this posting

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  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on MyCareersFuture's form

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3×

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