Senior DevOps Engineer - SaaS

Join us in revolutionizing the future of AI as a DevOps Engineer, where your expertise will be instrumental in shaping the next generation of AGI technologies. You will collaborate with the R&D department to implement our AAGI Behavioral Engine as a Cloud SaaS


Job Description:

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.

Key Responsibilities:

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. Collaboration and Documentation: Work closely with development, QA, and product teams to facilitate seamless collaboration. Document deployment processes, system configurations, and troubleshooting guidelines.
  7. 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.
  8. 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.

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