Principal Software Engineer - Data infrastructure/Data Solutions

About the job: Red Hat’s Data and AI team is looking for a Principal Software Engineer to join our Data Products team in Bangalore, India. In this critical role you will be instrumental in elevating Red Hat’s data-driven culture and execution by designing, building, and evolving data products and generative AI applications that support Red Hat’s 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 o ... (truncated, view full listing at source)