Infra Systems Engineer — AI-Driven FinTech Platform

ACTELLIGENT PRIVATE LIMITED; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Actelligent is seeking a Systems Engineer to design, build, integrate, and maintain robust infrastructure powering an AI-driven investment platform. You will ensure reliability, security, and scalability to support real-time insights and model deployment.

In this fintech environment, you will collaborate with AI/ML, data science, and product teams, implement automation, and drive continuous improvement across the system lifecycle.

Qualifications

• Bachelor’s degree in Computer Science, Systems Engineering, Information Technology, or related field.
• 3+ years of experience as a Systems Engineer or similar, ideally in fintech/AI environments.
• Familiarity with containerization, CI/CD pipelines, and model-serving infra.
• Experience with cloud platforms and scripting/automation.

Responsibilities

• Design, implement, and maintain scalable systems and infrastructure.
• Integrate hardware, software, cloud services and data feeds to ensure end-to-end performance.
• Monitor health, performance and capacity; identify bottlenecks and improve reliability.
• Manage configuration, automation, backup, recovery and DR processes.
• Ensure security, compliance, and data integrity for financial data.
• Collaborate with AI/ML and data science teams to support model deployment.
• Troubleshoot issues and perform root-cause analysis across the system lifecycle.
• Maintain architecture and operating procedure documentation.
• Contribute to system architecture decisions and risk assessments.

Skills

Problem solving

Systems thinking

Collaboration

Education

Bachelor's degree in CS/Systems Engineering/IT

Tools

Docker

Kubernetes

Terraform

Ansible

CI/CD pipelines

Job description

Actelligent is seeking a Systems Engineer to design, build, integrate, and maintain robust infrastructure powering an AI-driven investment platform. You will ensure reliability, security, and scalability to support real-time insights and model deployment.

In this fintech environment, you will collaborate with AI/ML, data science, and product teams, implement automation, and drive continuous improvement across the system lifecycle.