About The Job

Red Hat's Data and AI organization is looking for a Principal 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's ecosystem
Analyze existing product datasets, 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.
Transition script-based AI prototypes into high-performance, production-ready applications that empower users to manage AI-assisted configurations.
Build full stack capabilities that allow users to create, manage, and modify product configurations through intuitive interfaces.
Develop backend services and APIs that power the ABM abstraction layer, enabling business users to manage products through attributes rather than raw SKU structures.
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.
Develop data pipelines and transformations that support reliable data flow between product systems, data platforms, and downstream applications.
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 Java, Python, 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

Familiarity with open source or inner source development and processes
Experience working with master data management, or product configuration systems.
Experience building end to end scalable systems
Experience with Agentic SDLC
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.

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.

Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.

Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email [HIDDEN TEXT]. General inquiries, such as those regarding the status of a job application, will not receive a reply.

Angular Developer

Data Engineering Apprentice

Incremental CRM - Salesforce Developer

UI React Developer

Backend Development

Python Developer (Freelancer)

Principal Software Engineer