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DevOps Infrastructure Engineer – High-Frequency Trading (HFT)

IO Tech Solutions Limited
Hong Kong

About this role

DevOps Infrastructure Engineer – High-Frequency Trading (HFT)

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.

Required Skills

  • 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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