AI Infrastructure Engineer for Scalable Solutions

3 days ago


Singapore AICADIUM SINGAPORE PTE. LTD. Full time
AICADIUM SINGAPORE PTE. LTD. Offers Competitive Salary

Are you a seasoned professional with expertise in designing, implementing, and maintaining scalable AI-driven infrastructure? Do you have experience working with cloud platforms, container orchestration technologies, and CI/CD pipelines?

We are seeking a talented Ai Infrastructure Engineer to join our team at AICADIUM SINGAPORE PTE. LTD. as a key player in operationalizing, maintaining, scaling, and optimizing our AI-driven applications and supporting infrastructure.

This is an excellent opportunity to leverage your skills and experience to contribute to the delivery and operation of highly available, low latency, and optimally performing AI products. You will work closely with cross-functional teams, including software engineers, data scientists, and platform engineers, to ensure seamless collaboration and knowledge sharing.

Key Responsibilities:

  • Infrastructure Design and Implementation: Collaborate with Software Engineers to design, implement, and maintain scalable, efficient, and secure systems using cloud platforms (AWS, GCP, or Azure), container orchestration technologies (e.g., Kubernetes, Docker), and CI/CD pipelines.
  • System Monitoring and Maintenance: Monitor production systems and services, ensuring optimal uptime and performance. Implement monitoring tools and dashboards for proactive incident detection.
  • Automation and Orchestration: Automate repetitive tasks, deployment processes, and infrastructure provisioning using tools such as Ansible, Terraform, or similar. Develop and maintain CI/CD pipelines to facilitate smooth deployments.
  • Incident Management and Troubleshooting: Respond to system incidents, troubleshoot issues, and work towards timely resolutions. Conduct root cause analysis (RCA) of system failures and develop strategies to prevent future incidents.
  • Performance Optimization: Optimize AI model deployment and data pipelines for speed, efficiency, and cost-effectiveness. Collaborate with data scientists and engineers to ensure AI systems are running efficiently in production environments.
  • Scalability and Reliability: Design and implement scalable infrastructure solutions for AI applications. Ensure system reliability, fault tolerance, and high availability through effective architecture and best practices.
  • Security and Compliance: Work with security teams to ensure all systems are compliant with company security protocols and industry standards. Implement security best practices across production environments.

Required Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
  • 5+ years of experience in a combination of software development, production operations, DevOps, infrastructure engineering, or security roles.
  • Strong application development experience in JavaScript and Python, particularly with RESTful API design and development using a service-oriented architecture.
  • Strong experience with cloud platforms (AWS, GCP, or Azure).
  • Proficiency in container orchestration technologies (e.g., Kubernetes, Docker).
  • Solid understanding of CI/CD pipelines and automation tools (GitHub Actions, ArgoCD, Jenkins, GitLab CI, etc.).
  • Experience with infrastructure as code (Terraform, Ansible, etc.).
  • Hands-on experience with monitoring and logging tools (Datadog, Prometheus, Grafana, ELK stack, etc.).
  • Strong experience with Bash and other similar scripting languages.
  • Solid understanding of frontend frameworks, particularly React, and their interaction with backend services.
  • Strong problem-solving skills and attention to detail.
  • Experience in handling large-scale distributed systems.

Salary Range: SGD $120,000 - SGD $180,000 per annum, depending on experience.

Benefits:

  • Competitive salary package
  • Ongoing training and development opportunities
  • Collaborative and dynamic work environment
$SGD 150,000 - $170,000 per year estimated salary range.

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