Senior Software Engineer - RedHat’s Data And AI Platform; Lowell Office

Overview

At Red Hat, we are looking for a Software Engineer to join our Data and AI Platform team in Lowell Office. In this role, you will elevate Red Hat’s data-driven culture and execution by building and delivering a best-in-class cloud-native data platform. You will work with a distributed team to deliver a delightful developer and analyst experience; satisfy and exceed requirements for compliance and governance;

obtain high system performance and process responsiveness through automated, resilient, efficient processes; prepare to deliver on the needs of future ML-enhanced business processes; support broad internal adoption with rich enablement and low friction.

• Participate in the design, implementation and reliable backend systems.
• Apply Infrastructure-as-Code principles in all aspects of the data platform implementation.
• Build ML Pipeline capabilities into the Data Platform.
• Integrate data platform components together with other Red Hat systems and infrastructure.
• Design and write automation software to provision, upgrade, monitor, and heal Data "as-a-service".
• Automate controls and reports that satisfy compliance and regulatory requirements.
• Develop enablement content that will assist peers and users of the data platform.
• Serve data platform users with cost and usage insight, along with cost optimization recommendations.
• Ensure a best-class experience for data engineers, data analysts, and data scientists using the data platform, with high productivity and low friction.

• Mandatory 6+ years of software engineering experience using one or more programming languages such as Golang, Python, Java, Ruby. You should be able to hands‑on code on a daily basis in any of the mentioned languages or equivalent.
• Good understanding of Kubernetes / Open Shift architecture and building & maintaining scalable applications on these platforms.
• Experience in developing, managing Infrastructure as code automation platforms – Terraform or equivalent.
• Experience in troubleshooting as‑a‑service offerings (SaaS, PaaS, etc.).
• Experience with any of the public cloud services.
• Bachelor’s degree in Computer Science, Computer Engineering, or related field.
• 6+ years of software development experience with a focus on data applications & systems.
• Exceptional software engineering skills that lead to elegant and maintainable data platform.
• Proficiency in at least one general‑purpose programming language, e.g. Python, Go, Java, Rust, etc.
• Loosely held 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 platform, 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 platforms that have a high level of governance and compliance requirements.

• Familiarity with open source or inner source development and processes.
• Familiarity with data mesh architectural principles.
• Experience with Snowflake, Fivetran, dbt, Airflow / Astronomer.
• Experience with building ML Pipelines with tools like MLflow, Kubeflow, etc.
• Familiarity with building MCP servers/tools and Agents.
• Working knowledge of Vector Databases, RAG Pipelines is a huge plus.

The salary range for this position is $ – $. Actual offer will be based on your qualifications.

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote‑US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.

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