Sr. DevOps Engineer

The Sr. 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 DevOps engineers and other 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 Principal 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 5 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 Strong communication and interpersonal 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 Monitoring and logging tools (e.g., Prometheus, ELK Stack) Collaboration and communication tools (e.g., Slack, Microsoft Teams)

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