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

Red Hat•Lowell, MA

About The Position

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. What will you do? 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 Service 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

Requirements

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 / OpenShift architecture and building & maintaining scalable applications on these platforms
Experience in developing, manage 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, eg. 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

Nice To Haves

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 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.

Responsibilities

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
Service 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

Benefits

Comprehensive medical, dental, and vision coverage
Flexible Spending Account - healthcare and dependent care
Health Savings Account - high deductible medical plan
Retirement 401(k) with employer match
Paid time off and holidays
Paid parental leave plans for all new parents
Leave benefits including disability, paid family medical leave, and paid military leave
Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!

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