Site Reliability Engineer, Cybersecurity/SaaS/AI Security product

We are seeking a motivated and technically curious Site Reliability Engineer to help build and maintain the reliable and distributed systems that support our business operations.

In this role, you will play a vital part in supporting the following businesses:

- Vulcan: Vulcan is a cybersecurity solution for GenAI, providing red and blue team services to ensure compliance and security. 

- Cymetrics: A cybersecurity platform designed specifically for small and medium enterprises in the APAC region.

- IXT: An insurance core system solution for APAC insurance markets.

Learn more about us 👉

AIFT group: https://aift.io/

Tech Blog: https://medium.com/onedegree-tech-blog

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How to apply

It will help us process your applications faster through https://job-boards.greenhouse.io/aift/jobs/5148044004
*Please apply with English CV, thank you.

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Responsibilities

• Implement and enhance system reliability, availability, scalability, performance, and efficiency by leveraging monitoring, alerting, and automation tools on public cloud platforms.
• Participate in capacity planning, analyze software performance, and fine-tune systems to ensure optimal operation.
• Develop and enhance GitLab CI/CD processes and toolset to streamline software delivery and deployment.
• Define and monitor key metrics to assess and enhance system reliability.
• Collaborate closely with the engineering team to improve reliability and operational efficiency at every software development life cycle (SDLC) stage.
• Troubleshoot, optimize infrastructure and automate repetitive tasks to increase efficiency and effectiveness

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• At least 1–2 years of experience in cloud technology.
• Familiarity with monitoring solutions like Prometheus, Grafana, ELK (Elasticsearch, Logstash, Kibana).
• Understanding the complete software development life cycle (SDLC).
• Basic knowledge of network concepts, with an interest in infrastructure security.
• Hands-on experience implementing GitLab CI/CD processes.
• Exposure to automation platforms like Ansible and Terraform.
• Knowledge of container technologies like Docker;Kubernetes knowledge is a plus.
• Comfortable using Git for source control in a collaborative environment.
• Interest in or experience with AI pair programming like OpenAI.
• Ability to script in programming languages such as Bash, Python, or Go.

• HR phone interview: 1 hour
• Onsite Interview: 1.5~2 hours, meet with hiring team and HR