Job Description for Senior DevOps Engineer

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.

Location: Hybrid – Hyderabad, India

Job Summary

We are looking for a senior DevOps engineer to help build, automate, and validate 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’ll work closely with data scientists, ML engineers, platform teams, and product managers to operationalize AI/ML workflows, enabling smooth transitions from experimentation to production. You’ll also define test strategies, automate validation pipelines, and champion the overall quality of Teradata’s AI/ML platform and analytic products.

What You’ll Do

• 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 (e.g., LLM-based systems).

Who You'll Work With

You’ll collaborate with:

• AI/ML engineers and data scientists building enterprise-grade models and intelligent agents.
• Product managers and quality leaders defining success criteria and customer expectations for model-based features.
• Release management teams ensuring delivery standards and model lifecycle hygiene.

What We’re Looking For

 Minimum Requirements

• 5+ years of industry experience in QA, DevOps, or software engineering role. 

• Solid coding skills in Python, including test frameworks (e.g., PyTest, unittest) and data libraries (pandas, NumPy). 

• 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. 

• Familiarity with containerization (Docker) and cloud platforms (AWS, GCP, or Azure). 

• Working knowledge of Linux-based systems and networking fundamentals.

Preferred Qualifications

• Bachelor’s or Master’s in Computer Science, Artificial Intelligence, or a related field (or equivalent experience). 

• Familiarity with Teradata Vantage, model scoring, or cloud-native deployments (AWS/GCP/Azure). 

• Prior experience testing or validating ML or analytics-based applications. 

• Experience in testing data pipelines, ETL flows, or large-scale data processing systems. 

• Strong communication and documentation skills; ability to write test plans and share findings with both technical and non-technical audiences

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