About the job

Red Hat’s Data and AI organization is looking for a Principle Software Engineer to join our Data Management team in Pune, India. In this role, you will help design and build the next generation of Red Hat’s internal product data platform by contributing to the implementation of an Attribute-Based Model (ABM) for Red Hat’s product ecosystem.
Red Hat’s product portfolio spans thousands of SKUs across multiple programs, entitlement models, and transactional systems. Our goal is to evolve from traditional SKU-based modeling to a more flexible attribute-driven representation of products, enabling intelligent product composition, automation of business workflows, and deeper revenue insights across the company.
You will work at the intersection of software engineering, data engineering, and business systems, building full stack applications, rule engines, and data pipelines that transform complex product data into reliable and composable data products. These systems power internal platforms used by product operations, engineering teams, and business systems across Red Hat.
The ideal candidate is naturally curious, enjoys discovering patterns in complex datasets and workflows, and can translate those insights into scalable systems and automation. You should be comfortable building data-driven backend systems and full stack applications that allow business users to interact with sophisticated data models without needing to understand underlying system complexity.

What you will do

Contribute to the design and implementation of Red Hat’s Attribute-Based Model (ABM) for product data management.
Analyze existing product datasets, SKUs, and business workflows to discover patterns, attributes, and relationships that define Red Hat’s product offerings.
Participate in attribute discovery and modeling, including identifying engineering identifiers, entitlement attributes, and product characteristics that define valid product combinations.
Collaborate with product operations and business teams to translate business workflows into scalable platform capabilities.
Design and implement composition rules and rule engines that generate valid product configurations from attribute sets.
Build and maintain the translator layer that converts attribute combinations into transactional representations used by downstream systems.
Develop backend services and APIs that power the ABM abstraction layer, enabling business users to manage products through attributes rather than raw SKU structures.
Build full stack capabilities that allow users to create, manage, and modify product configurations through intuitive interfaces.
Design systems that tag product transactions with attribute metadata to enable revenue intelligence and advanced analytics.
Develop data pipelines and transformations that support reliable data flow between product systems, data platforms, and downstream applications.
Identify opportunities to automate workflows and improve system intelligence through pattern recognition in data and usage behavior.
Implement observability, monitoring, and testing practices to ensure reliability and maintainability of systems.
Collaborate with platform engineers, data engineers, and business stakeholders to ensure solutions deliver measurable business impact.

What you will bring

Strong full stack software engineering experience building scalable backend services and modern web applications.
Solid experience with data engineering concepts, including data modeling, transformation pipelines, and structured data processing.
Strong ability to analyze complex datasets and identify patterns that can drive system design and automation.
Proficiency in SQL and relational data systems.
Experience programming in at least one general-purpose language such as Python, Java, Go, or similar.
Experience building APIs and backend services that support data-driven applications.
Experience designing systems that are metadata-driven, rule-based, or configuration-based.
Strong curiosity and willingness to explore unfamiliar domains and continuously learn new technologies.
Ability to translate complex business workflows into scalable technical solutions.
Strong collaboration skills when working with cross-functional teams including product operations, engineering, and data teams.
Bias for action, ownership, and continuous improvement.

The following experience is considered a plus

Experience working with product data management, master data management, or product configuration systems.
Experience building attribute-based models or metadata-driven platforms.
Experience working with modern data platforms such as Snowflake, dbt, Airflow, or similar technologies.
Experience with event-driven architectures or streaming systems.
Familiarity with cloud-native platforms such as Kubernetes or OpenShift.
Exposure to AI or machine learning techniques used for pattern discovery or automation.
Experience working in open source or InnerSource development environments.

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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)
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