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.

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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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

501-1,000 employees

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