Senior Software Engineer

About the role

Red Hat Data & AI is looking for a Senior Software Engineer to join our Domain Engineering team in Pune, India. In this role, you will elevate Red Hat's data-driven culture and execution by developing data products and AI solutions that support Red Hat's operational and analytical needs. You will deliver data & AI products (code + data) that service the entire organization, not just your own departmental requirements, through an InnerSource collaboration model. Your expertise in software and data engineering practices, combined with a passion for internal customer adoption, will ensure that your data products and AI solutions lead to impactful business outcomes.

Responsibilities

• Architect and implement AI-enabled capabilities, including LLM integrations, intelligent automation, and AI-assisted workflows.
• Collaborate with data engineers, platform engineers, and product teams to integrate AI-powered functionality into enterprise systems.
• Ensure reliability, scalability, performance, and observability through strong engineering and operational practices.
• Provide technical leadership and mentorship to engineers and guide complex design decisions.
• Develop source data pipelines using an ELT (versus ETL) model of data ingestion
• Document data product metadata and AI readiness guidance to support Machine Learning and AI/agentic use cases.
• 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
• Register and maintain the catalog entries for your data products to support discoverability and reuse
• Develop automated and resilient processes that support the end-end delivery of business value
• 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
• Lead the transition from script-based prototypes (e.g., Streamlit/Gradio) to high-performance, custom web applications

Requirements

• Exceptional software and data engineering skills that lead to elegant and maintainable data products
• Expert level proficiency in using SQL for data transformation
• Proficiency in at least one general purpose programming language, eg. Python, Go, Java, Rust, etc.
• Practical experience developing, deploying, or integrating Artificial Intelligence (AI) and Machine Learning (ML) models into production
• 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
• 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 Snowflake, Fivetran, dbt, Airflow / Astronomer
• Experience with React (frontend) and Node.js/Fastify (backend)
• Familiarity with Generative AI (GenAI) principles and experience working with large language models (LLMs) or related natural language processing technologies.
• About Red Hat
• Inclusion at Red Hat

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