初意智慧股份有限公司 | 電腦軟體服務業
台北市中正區 - 年薪750,000~1,300,000
- 大學
- 經歷不拘
Position Overview
We are seeking a motivated and experienced DevOps Engineer to join our dynamic, fast-growing startup specializing in AI-driven services and solutions. As a key member of our technical team, you will play a crucial role in designing, building, and maintaining the infrastructure that powers our AI applications and products. This is an opportunity to shape the future of our platform, influence our engineering culture, and help deliver innovative, reliable, and scalable AI services to our global clients.
Key Responsibilities
● Infrastructure Automation & Management: Design, implement, and manage scalable, secure, and highly available cloud-based infrastructure using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.
● CI/CD Pipeline Development: Build, optimize, and maintain continuous integration and continuous deployment (CI/CD) pipelines to ensure rapid, reliable delivery of software and AI models.
●Monitoring & Reliability: Establish and maintain monitoring, logging, and alerting solutions to ensure system health, performance, and availability. Implement proactive measures to prevent outages and minimize downtime.
●Collaboration: Work closely with software engineers, data scientists, and product managers to understand project needs and deliver the necessary infrastructure and deployment tools.
●Security & Compliance: Implement and maintain robust security practices, including access controls, network security, vulnerability management, and compliance with relevant standards (e.g., SOC2, GDPR).
●Cost Optimization: Analyze cloud usage and optimize infrastructure costs while maintaining performance and reliability.
●Documentation & Knowledge Sharing: Produce clear, comprehensive documentation for infrastructure, automation scripts, and operational procedures. ●Advocate for best practices and mentor junior team members.
Incident Response: Lead and participate in incident response activities, root cause analysis, and post-mortem reporting to ensure continuous improvement.
●Tooling & Automation: Identify, evaluate, and introduce tools that enhance operational efficiency, security, and scalability.
●Scalability & Performance: Proactively identify bottlenecks and architect solutions for scalability to support the rapid growth and increasing demands of AI workloads.
Required Qualifications
●Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent professional experience).
●2+ years of experience as a DevOps Engineer or in a similar role, ideally in a startup or fast-paced environment.
●Strong expertise with cloud platforms such as AWS, Google Cloud Platform, or Azure.
●Proficiency with Infrastructure as Code tools (e.g., Terraform, CloudFormation, or Ansible).
●Experience building and maintaining CI/CD pipelines using tools such as Jenkins, GitLab CI, CircleCI, or GitHub Actions.
●Solid understanding of containerization technologies, especially Docker and orchestration tools like Kubernetes or ECS.
●Familiarity with monitoring, logging, and alerting tools (e.g., Prometheus, Grafana, ELK Stack, Datadog).
●Experience with scripting languages such as Python, Bash, or Go.
●Strong understanding of network protocols, security best practices, and cloud security architectures.
●Comfortable working in a Linux/Unix environment.
●Excellent problem-solving skills, attention to detail, and a proactive mindset.
●Strong communication skills and ability to collaborate in a multidisciplinary team.
●Enthusiasm for start-up environments, flexible mind-set, and ability to adapt to changing priorities.