Senior DevOps Engineer

Our Company :

Job Description for Senior DevOps Engineer :

At Teradata, we believe that people thrive when empowered with better information.

Thats 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 customersand our customers customersto make better, more confident decisions.

The worlds 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.

Youll work closely with data scientists, ML engineers, platform teams, and product managers to operationalize AI/ML workflows, enabling smooth transitions from experimentation to production.

Youll also define test strategies, automate validation pipelines, and champion the overall quality of Teradatas AI/ML platform and analytic products.

What Youll 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., LLM-based systems).

Who You'll Work With :

Youll 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.

Minimum Requirements :

What Were Looking For :

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

- Solid coding skills in Python, including test frameworks (e., 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 :

- Bachelors or Masters 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.

Why We Think Youll Love Teradata :

We prioritize a people-first culture because we know our people are at the very heart of our success.

We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work.

We focus on well-being because we care about our people and their ability to thrive both personally and professionally.

We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement.

It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.

Teradata invites all identities and backgrounds in the workplace.