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DevOps / AI Engineer - Oracle

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Our Company

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

What You'll Do

As a DevOps Engineer, you will play a crucial role in automating our development and deployment processes, improving system reliability, and fostering a culture of collaboration between development and operations teams. Your eagerness to learn and passion for DevOps and automation will be key to your success in this role.

What You Bring:

  • Collaborate with development and operations teams to design and implement automated deployment pipelines.
  • Monitor and maintain cloud infrastructure, ensuring optimal performance and availability.
  • Develop and manage CI/CD processes, including test automation, to streamline code integration, delivery, and validation.
  • Participate in troubleshooting and resolving system performance issues.
  • Contribute to documentation for system architecture, processes, and procedures.
  • Stay updated on industry trends, tools, and best practices related to DevOps and automation.

What Makes You a Qualified Candidate:

  • Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent experience).
  • 1-3 years of experience in a DevOps or automation role.
  • Familiarity with Oracle Cloud Infrastructure (OCI).
  • Experience with scripting languages (e.g., Python, Bash) for automation tasks.
  • Knowledge of CI/CD tools (e.g., Jenkins, GitLab CI, Harness) and experience with test automation frameworks (e.g., Selenium, JUnit, pytest) is a plus.
  • Basic understanding of containerization technologies (e.g., Docker, Kubernetes) is a plus.
  • Exposure to AI concepts and tools (e.g., machine learning frameworks) is a plus.
  • Strong problem-solving skills and a willingness to learn new technologies.

Personal Attributes:

  • Passionate about DevOps and automation.
  • Eager to learn and adapt in a fast-paced environment.
  • Excellent communication and collaboration skills.
  • Detail-oriented with a focus on quality and efficiency.

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