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DevOps Infrastructure Engineer – High-Frequency Trading (HFT)

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Onsite

DevOps Infrastructure Engineer – High-Frequency Trading (HFT)

IO Tech Solutions Limited

DevOps Infrastructure Engineer – High-Frequency Trading (HFT)

Skills

AWSKubernetes

1 month ago

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Important information


Contract type:

Permanent

Location:

Hong Kong

Work mode:

Onsite

Published on:

7 September 2026

What they need


We are seeking a Mid-to-Senior DevOps Engineer who is a highly motivated self-starter capable of hitting the ground running from day one. In this role, you will manage, scale, and optimize critical infrastructure with minimal supervision.

Key Responsibilities

  • Infrastructure Management: Maintain, optimize, and scale our AWS cloud environment and critical infrastructure.
  • Orchestration & Deployment: Design, manage, and scale Kubernetes clusters and manage deployments using ArgoCD.
  • Automation & Pipelines: Build, maintain, and optimize robust CI/CD pipelines to ensure stable and rapid software delivery.
  • Internal Tools: Design and build frontend dashboards to provide visibility, monitoring, and self-service capabilities for internal teams.
  • Collaborative Support: Partner closely with internal users, maintaining a highly flexible, patient, and solutions-oriented approach when navigating complex or challenging user requirements.

Required Technical Stack & Qualifications

  • Experience: 4+ years of experience in a DevOps, SRE, or Infrastructure Engineering role, demonstrating the ability to work independently.
  • Cloud Platform: Deep operational knowledge of AWS.
  • Containerization: Strong, hands-on experience with Kubernetes administration and ecosystem tools.
  • GitOps & CI/CD: Proficient with ArgoCD and modern continuous integration and deployment frameworks.
  • Open for both Hong Kong and Singapore applicants.

Highly Desirable Niche Skills (Nice-to-Have)

  • Experience with latency-sensitive systems.
  • Hands-on experience with low-level infrastructure optimization, including machine tuning and CPU tuning.

Environment Containerization CI/CD pipelines Cloud Support Continuous Integration Pipelines Trading CI/CD Optimization DevOps Infrastructure Automation Integration AWS Kubernetes Administration Software Design Engineering Management

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