DevOps/Site Reliability Engineer (Hanoi-Remote)

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Written by AI from the job title and company, not by Token Metrics, so some details may not match this job. The employer's own page has the real description.

Job Overview

The DevOps/Site Reliability Engineer (SRE) at Token Metrics will play a critical role in managing and enhancing our cloud infrastructure, ensuring the reliability and performance of our applications and services. This position requires a strong understanding of automation processes, system architecture, and performance monitoring. The successful candidate will collaborate with development and product teams to build and maintain robust systems while implementing best practices for deployment and operational efficiency.

Job Responsibilities

• Design, implement, and manage cloud-based infrastructure solutions to optimize performance and reliability.
• Monitor system performance and reliability to ensure high availability of services.
• Automate deployment processes and manage CI/CD pipelines for seamless integration and delivery.
• Collaborate with development teams to troubleshoot and resolve issues across the production environment.
• Implement security best practices across the infrastructure and applications.
• Develop and maintain documentation for system architectures, processes, and procedures.
• Conduct post-mortems and root cause analysis for incidents to improve future system reliability.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 3+ years of experience in a DevOps or Site Reliability Engineer role.
• Strong proficiency in cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with containerization technologies such as Docker and orchestration tools like Kubernetes.
• Proficient in scripting languages such as Python, Bash, or Ruby.
• Solid understanding of networking principles and system security.
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack).

Technologies & Tools

This position will utilize a range of modern technologies and tools including cloud services (AWS, Azure), container orchestration platforms (Kubernetes), configuration management tools (Ansible, Terraform), CI/CD pipelines (Jenkins, GitHub Actions), and monitoring solutions (Prometheus, Grafana). Familiarity with version control systems such as Git is also essential.

Ideal Candidates

The ideal candidate for this position will possess a proactive mindset, strong analytical abilities, and a passion for continuous improvement within complex systems. They should demonstrate excellent problem-solving skills and be able to communicate effectively across teams. A candidate who thrives in a dynamic environment and is committed to maintaining high standards of quality and reliability will be highly valued in our team.