Trading Operations Engineer

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Requirements:

• Bachelor’s degree in Engineering, Computer Science, or a related field.
• 3–5 years of IT or software engineering experience.
• Strong knowledge of Python scripting for automation and tooling.
• Proficiency with Linux systems, including shell scripting and networking.
• Strong teamwork and communication skills, including clear and concise writing.
• Ability to think critically, make decisions under pressure, and escalate when necessary.
• Willingness to work shifts and adapt to the dynamic demands of HFT operations.
• Experience with monitoring tools like Grafana, Prometheus, Loki, ElasticSearch, or ClickHouse.
• Familiarity with configuration management tools like Ansible and CI/CD systems.
• Basic experience with AWS cloud services.
• Knowledge of distributed databases (e.g., ClickHouse).
• Exposure to containerization and orchestration tools like Kubernetes.

Responsibilities:

• Monitor and manage the real-time operation of high-frequency trading systems.
• Troubleshoot, resolve, and escalate system issues as needed to maintain high availability.
• Analyze system performance metrics (e.g., latency) using tools like Grafana, Prometheus, or equivalent solutions.
• Collaborate with software engineers, traders, and infrastructure teams to improve system reliability and efficiency.
• Automate processes and deployments to enhance operational workflows.
• Manage configurations using tools like Ansible and support CI/CD pipelines.
• Contribute to system documentation and provide feedback on process improvements.
• Participate in an on-call rotation to handle critical incidents outside regular hours.
• Show initiative in identifying areas for improvement and implementing solutions.