DevOps Engineer
1 month ago
Responsibilities :
- Design, implement, and maintain CI/CD pipelines for automated build, test, and deployment of AI models and applications.
- Automate infrastructure provisioning and configuration management using tools like Terraform, Ansible, or similar.
- Collaborate with software developers to optimize application performance and resource utilization in cloud environments.
- Monitor, troubleshoot, and optimize system performance, reliability, and scalability.
- Implement and maintain container orchestration platforms such as Kubernetes for deploying and managing AI workloads.
- Manage and configure cloud services and resources on platforms like AWS, Azure, or Google Cloud Platform.
- Implement security best practices and compliance requirements for AI infrastructure and applications.
- Work closely with the research and development teams to deploy and scale machine learning models and algorithms.
- Participate in on-call rotation and respond to incidents related to production systems.
- Continuously research and evaluate new technologies and tools to improve the efficiency and effectiveness of our DevOps processes.
- Document infrastructure configurations, processes, and procedures to ensure knowledge sharing and maintainability.
- Bachelor's degree in Computer Science, Engineering, or related field.
- 4+ years of experience working in a DevOps or similar role.
- Strong understanding of software development lifecycle and CI/CD concepts.
- Proficiency in scripting languages such as Python, Bash, or PowerShell.
- Experience with configuration management tools like Terraform, Ansible, Chef, or Puppet.
- Hands-on experience with containerization technologies such as Docker and container orchestration platforms like Kubernetes.
- Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
- Knowledge of networking, security, and compliance principles in cloud environments.
- Experience with monitoring and logging tools such as Prometheus, Grafana, ELK stack, or similar.
- Strong problem-solving skills and ability to troubleshoot complex issues in distributed systems.
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
- Experience with machine learning frameworks and tools is a plus.
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