DevOps Engineer

Requisition Number: 201748

External Description:

DevOps Engineer

Teradata empowers companies to achieve high-impact business outcomes through analytics. With a powerful combination of Industry expertise and leading hybrid cloud technologies for data warehousing and big data analytics, Teradata unleashes the potential of great companies. Partnering with top companies around the world, Teradata helps improve customer experience, mitigate risk, drive product innovation, achieve operational excellence, transform finance, and optimize assets. Teradata is recognized by media and industry analysts as a future-focused company for its technological excellence, sustainability, ethics, and business value.

Teradata R&D Labs is looking for a DevOps Engineer to be a part of a team developing new tools and systems to automate the deployment of Teradata software stacks to private cloud (VmWare), public clouds (AWS, Azure) and to on-premise bare-metal appliances. This engineer will be responsible for implementing a packaging and deployment solution that simplifies deployments to a “one click” process, encouraging both ease of deployment and high quality delivery.

Your Business Objectives would include:

• Contribute to the architecture, implementation, and delivery of a continuous integration and delivery (CI/CD) process, enabling automated deployment of Teradata applications

• Create scripts, utilities, tools, and processes for the CI/CD platform enabling engineers to deliver high quality software in an automated manner
• Implement a deployment system which allows self-service capabilities to teams outside DevOps
• Oversee and continuously improve automation tools used for deployment, development, and operational tasks
• Resolve deployment problems at their root with simple and repeatable solutions

• Enforce common DevOps principles included in source control and build/deploy/release policies and procedures

 Experience, skills, and knowledge requirements

• 2+ years of experience in devops/deployment automation solutions
• Functional knowledge of Python, Ansible
• Experience in automating deployment of apps to AWS and Azure
• Experience in build automation and CI/CD automation with deep understanding of Jenkins
• Experience with SVN and GHE source control systems
• Strong Knowledge on containerization using Docker/Kubernetes
• Experience with Stacki to automate deployment on bare-metal appliances
• Good understanding of build pipeline, packaging, and artifact management
• Strong Linux experience
• Possess strong analytical and problem-solving skills
• Effective communication and presentation skills

Preferred Experience and Education

• Familiarity with Agile methodologies and tools
• Bachelor's degree in Computer Science or related field

CountryEEOText_Description: Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.

City: San Diego

State: California

Community / Marketing Title: DevOps Engineer

Job Category: Engineering

Company Profile:

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.

LinkedIn Remote:

Location_formattedLocationLong: San Diego, California US