Senior Software Engineer at Red River

pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

18 Jun, 26

Salary

0.0

Posted On

20 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, Data Engineering, ELT Model, Metadata, Machine Learning, CI/CD, InnerSource, SQL, Python, Go, Java, Rust, Data Governance, Compliance, Data Mesh, Generative AI

Industry

IT Services and IT Consulting

Description

About the job 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. 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 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 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 Lead the transition from script-based prototypes (e.g., Streamlit/Gradio) to high-performance, custom web applications What you will bring 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. Foundational understanding of Machine Learning (ML) concepts and workflows. 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) Practical experience developing, deploying, or integrating Artificial Intelligence (AI) and Machine Learning (ML) models into production Familiarity with Generative AI (GenAI) principles and experience working with large language models (LLMs) or related natural language processing technologies. 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 application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply. We’re the world’s leading provider of enterprise open source solutions—including Linux, cloud, container, and Kubernetes. We deliver hardened solutions that make it easier for enterprises to work across platforms and environments, from the core datacenter to the network edge. At Red Hat, our commitment to open source extends beyond technology into virtually everything we do. We collaborate and share ideas, create inclusive communities, and welcome diverse perspectives from all Red Hatters, no matter their role. It’s what makes us who we are. Some of the most knowledgeable and passionate people in the technology industry work here. Whether we’re building software, championing our products, or training new associates, we’re collaborating openly to make a difference in the world of open source and beyond.

Responsibilities

The role involves developing data products and AI solutions to support organizational needs, focusing on evolving data pipelines to an ELT model and richly decorating data products with metadata for adoption and ML application. Responsibilities also include applying software engineering best practices, ensuring data discoverability, and delivering on data product SLOs for internal customers.