Bangalore - Carina, India
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 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 world’s 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. We're 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 Hat’s 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)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
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