
Senior DevOps Engineer
12 hours ago
At Teradata, we empower people with better information to make informed decisions. We believe in fostering a culture of excellence and innovation. As a Senior DevOps Engineer, you will play a key role in building, automating, and validating end-to-end machine learning pipelines at enterprise scale.
This role combines responsibilities across DevOps engineering and Quality Engineering (QE), enabling smooth CI/CD workflows while ensuring robust test automation, release quality, and operational excellence. You will work closely with data scientists, ML engineers, platform teams, and product managers to operationalize AI/ML workflows, enabling smooth transitions from experimentation to production.
Responsibilities:
- Collaborate with AI/ML teams to automate and maintain automated test frameworks for Teradata features, SQL-based components, and analytics functions.
- Define and implement end-to-end test strategies for analytic products.
- Own quality gates in CI pipelines to block releases with critical bugs.
- Collaborate with the Agentic AI team to validate models used by intelligent agents.
Requirements:
- 5+ years of industry experience in QA, DevOps, or software engineering role.
- Solid coding skills in Python, including test frameworks and data libraries.
- Strong experience in SQL and databases.
- Experience in building and running test automation in a CI/CD pipeline.
- Experience in AWS, Azure, or Google Cloud.
Preferred Qualifications:
- Bachelors or Masters in Computer Science, Artificial Intelligence, or a related field.
- Familiarity with Teradata Vantage, model scoring, or cloud-native deployments.
- Prior experience testing or validating ML or analytics-based applications.
Why Teradata?
- We prioritize a people-first culture.
- We focus on well-being and trust our people to make decisions about how, when, and where they work.
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