Principal Software Engineer- Data infrastructureData Solutions

About the job:

Red Hats Data and AI team is looking for a Principal Software Engineer to join our Data Products team in Bangalore this critical role you will be instrumental in elevating Red Hats data-driven culture and execution by designing building and evolving data products and generative AI applications that support Red Hats operational and analytical needs. You will deliver advanced data and AI products (code data models) that service the entire organization not just your own departmental requirements through an InnerSource collaboration model. Your expertise in software data engineering practices and AI/ML technologies combined with a passion for internal customer adoption will ensure that your data products lead to composable and intelligent business solutions.

What you will do

• Evolve existing source data pipelines to an ELT model of data ingestion

• Cleanly separate source-aligned data products from aggregate data products

• Richly decorate your data products with metadata to support knowledge transfer adoption and the application of Machine Learning and LLMs.

• Architect and build AI applications and intelligent features leveraging large language models (LLMs) to enhance data products.

• Lead the design and implementation of new data pipelines specifically to support the training fine-tuning and deployment of AI/ML models.

• Tag and classify your data assets to ensure they are used responsibly throughout the organization applying masking or restricting access where appropriate

• Apply software engineering best practices to your code release process to support CI/CD and a high velocity collaboration model based on InnerSource including MLOps principles.

• Register and maintain the catalog entries for your data products and models to support discoverability and reuse

• Ensure your data products easily join with other business data products using common identifiers and keys

• Develop automated and resilient processes that support the end-end delivery of business value

• Publish and deliver on a data product SLO for your data customers

• Responsibly share your data products with other internal consumers while balancing the core needs of security and compliance

• Contribute feedback and recommendations to the Data Platform team in order to remove friction and increase scale for all users

• Write custom adapters to integrate internal data sources into the centralized Warehouse environment

• Mentor and provide technical guidance to other team members on best practices in AI application development and data governance.

What you will bring

• Exceptional software data and AI/ML engineering skills that lead to elegant and maintainable data products and intelligent applications.

• Deep experience in developing deploying and operationalizing applications utilizing Large Language Models (LLMs).

• Familiarity with leading generative AI platforms and models such as Claude Gemini or other equivalent open-source or proprietary LLMs.

• Expert level proficiency in using SQL for data transformation

• Proficiency in at least one general purpose programming language eg. Python (preferred for AI/ML) Go Java Rust etc.

• Strong opinions and perspectives that you kindly debate defend or change to ensure that the entire team moves as one

• Sets and resets the bar on all things quality from code through to data and everything in between

• Deep empathy for your users of your data products leading to a constant focus on removing friction increasing adoption and delivering business results

• Prunes and prioritizes work in order to maximize your contributions and impact

• Bias for action and leading by example

• Past experience in building enterprise data products that have a high level of governance and compliance requirements including working with regulated data for AI applications.

The following experience is considered a plus

• Familiarity with open source or inner source development and processes

• Familiarity of data mesh architectural principles

• Experience with MLOps frameworks and tools.

• Experience with Snowflake Fivetran dbt Airflow / Astronomer

About Red Hat

Red Hat is the worlds leading provider of enterprise open source software solutions using a community-powered approach to deliver high-performing Linux cloud container and Kubernetes technologies. Spread across 40 countries our associates work flexibly across work environments from in-office to office-flex to fully remote depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas no matter their title or tenure. Were a leader in open source because of our open and inclusive environment. We hire creative passionate people ready to contribute their ideas help solve complex problems and make an impact.

Inclusion at Red Hat
Red Hats culture is built on the open source principles of transparency collaboration and inclusion where the best ideas can come from anywhere and anyone. When this is realized it empowers people from different backgrounds perspectives and experiences to come together to share ideas challenge the status quo and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access and that all voices are not only heard but also celebrated. We hope you will join our celebration and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)
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