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Teradata
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Senior DevOps Engineer

Senior DevOps Engineer

Teradata

5 - 10 years

7 - 12 Lacs

hyderabad

Posted:1 day ago| Platform:

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Skills Required

computer science linux networking coding machine learning data processing teradata release management sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

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 Youll 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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Senior DevOps Engineer