Job Summary

The DevOps Engineer focuses on
continuous integration and continuous delivery (CI/CD) pipelines and automation
for AI services. This role involves designing, implementing, and maintaining
CI/CD pipelines, automating processes, and ensuring efficient and reliable
deployment of AI models and applications.

Responsibilities and Duties

• Design, develop, and maintain CI/CD pipelines to support the
  continuous integration and delivery of AI models and applications.
  
• Automate deployment, monitoring, and maintenance processes
  to ensure efficient and reliable operations.
  
• Collaborate with AI engineers, data scientists, and platform
  engineers to understand infrastructure and deployment requirements.
  
• Implement infrastructure as code (IaC) using tools such as
  Terraform or Ansible to manage and provision infrastructure resources.
  
• Monitor the performance and availability of CI/CD pipelines
  and automated processes, identifying and resolving issues promptly.
  
• Ensure the security and compliance of CI/CD pipelines and
  deployment processes, implementing best practices for data governance and
  regulatory requirements.
  
• Optimize CI/CD pipelines and automation processes for
  scalability and efficiency.
  
• Document CI/CD pipeline configurations, automation
  processes, and maintenance activities.
  
• Stay updated with the latest advancements in DevOps
  practices and technologies.
  
• Provide technical support and guidance to junior team
  members.
  
• Participate in project planning and contribute to the
  development of project timelines and deliverables.
  
• Perform other duties relevant to the job as assigned by the
  Sr. DevOps Engineer or senior management.
  

Requirements

• Bachelor’s degree in Computer Science, Information
  Technology, or a related field
  
• Relevant certifications (e.g., AWS Certified DevOps
  Engineer, Google Cloud Professional DevOps Engineer) are preferred
  
• Minimum of 3 years of experience in DevOps, CI/CD pipeline
  management, or related fields
  
• Experience with automation tools and practices
  
• Strong programming skills in languages such as Python, Bash,
  or Ruby
  
• Proficiency in CI/CD tools (e.g., Jenkins, GitLab CI,
  CircleCI)
  
• Experience with infrastructure as code tools (e.g.,
  Terraform, Ansible)
  
• Excellent problem-solving and troubleshooting skills
  
• In-depth knowledge of CI/CD practices and tools
  
• Familiarity with cloud platforms (e.g., AWS, Azure, Google
  Cloud) and their DevOps services
  
• Understanding of data governance, security, and regulatory
  standards
  
• Ability to manage multiple tasks and prioritize effectively
  
• Strong attention to detail and commitment to delivering
  high-quality work
  
• Ability to work independently and as part of a team
  
• CI/CD tools (e.g., Jenkins, GitLab CI, CircleCI)
  
• Infrastructure as code tools (e.g., Terraform, Ansible)
  
• Programming languages (e.g., Python, Bash, Ruby)
  
• Cloud platforms (e.g., AWS, Azure, Google Cloud)
  
• Monitoring and logging tools (e.g., Prometheus, ELK Stack)
  
• Collaboration and communication tools (e.g., Slack,
  Microsoft Teams)