As a DevOps Engineer specializing in the development of our cutting-edge SaaS AGI (Artificial General Intelligence) engine, you will play a pivotal role in bridging the gap between software development and IT operations. Your primary objective will be to ensure the seamless integration, deployment, and scalability of our AGI technology, enabling a robust, efficient, and secure user experience.
- Infrastructure Management: Design, implement, and manage cloud-based infrastructure (AWS, Azure, or similar) to support the deployment of our AGI engine. Monitor and optimize server performance, ensuring high availability and scalability.
- Continuous Integration and Deployment: Develop and maintain CI/CD pipelines for automated testing, integration, deployment, and rollback processes. Implement version control strategies to streamline development workflows.
- Security and Compliance: Collaborate with the security team to establish and maintain robust security protocols, including data encryption, access control, and vulnerability assessments. Ensure compliance with industry standards and regulations.
- Performance Optimization: Identify bottlenecks and optimize system performance, ensuring swift response times and minimal downtime. Implement load balancing, caching mechanisms, and other performance-enhancing strategies.
- Monitoring and Logging: Set up comprehensive monitoring and logging systems to track system behavior, identify issues proactively, and facilitate troubleshooting. Utilize tools like Prometheus, ELK stack, or similar technologies.
- Collaboration and Documentation: Work closely with development, QA, and product teams to facilitate seamless collaboration. Document deployment processes, system configurations, and troubleshooting guidelines.
- Disaster Recovery and Backup: Develop robust disaster recovery plans and implement backup solutions to safeguard critical data and ensure rapid system recovery in the event of failures.
- Emerging Technologies: Stay updated with the latest DevOps tools, cloud technologies, and best practices. Explore innovative solutions to enhance our development and deployment processes continually.
- Bachelor's degree in Computer Science, Information Technology, or related field.
- Proven experience as a DevOps Engineer in SaaS environments, preferably with AI technologies.
- Proficiency in scripting languages (e.g., Python, Bash) and automation tools (e.g., Ansible, Terraform).
- Strong background in cloud platforms, containerization (Docker, Kubernetes), and orchestration.
- Familiarity with version control systems (e.g., Git) and CI/CD pipelines.
- Excellent problem-solving skills and a proactive approach to troubleshooting.
- Knowledge of security protocols, compliance standards, and data protection.
- Effective communication skills and ability to collaborate in cross-functional teams.