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Software Quality Engineer

Red Hat

Munster

On-site

EUR 60,000 - 80,000

Full time

Today
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Job summary

A leading software company in Munster is seeking an experienced Software Engineer to enhance their AI/ML products. The ideal candidate will possess strong skills in Python and be experienced in developing scalable AI/ML solutions. Key responsibilities include collaborating with cross-functional teams, implementing robust testing protocols, and developing technical documentation. This position offers a dynamic work environment focused on innovation and growth.

Qualifications

  • 3+ years of experience as a Software Engineer with experience in AI/ML development in Python.
  • Experience creating and optimizing container images.
  • Ability to quickly learn and use new tools and technologies.

Responsibilities

  • Collaborate with engineers and management to define customer needs.
  • Develop and implement comprehensive unit and integration tests.
  • Create and maintain clear technical documentation.

Skills

Python
AI/ML development
Unit testing
CI/CD workflows
Containerization

Education

Bachelor's degree in computer science or related discipline

Tools

Docker
Kubernetes/OpenShift
GitHub Actions
PyTorch
Job description

At Red Hat, we connect an innovative community of customers, partners, and contributors to deliver an open source stack of trusted, high-performing solutions. We offer cloud, Linux, middleware, virtualization, and AI technologies, together with award-winning global customer support, consulting, and implementation services. Red Hat is a rapidly-growing company supporting more than 90% of Fortune 500 companies.

Red Hat’s Global Engineering team is looking for an experienced Software Engineer to join the Agentic and AI Engineering Tools team. In this role, you’ll contribute directly to Red Hat’s rapidly growing AI/ML family of products and will be responsible for the design, development, and refinement of software that enables the creation and deployment of generative AI models.

The ideal candidate will have a proven background in developing robust and scalable Python solutions within an AI/ML context. As part of your responsibilities, you will need to adhere to coding best practices and standards, including well-documented, and efficient code; building and implementing upstream unit and E2E automated tests, maintaining updated code documentation and comments, following security best practices, participating in code reviews and other peer review in upstream projects, and staying up-to-date with software engineering technologies, frameworks, and methodologies.

What You Will Do
  • Collaborate with Staff Engineers, Engineering, Product Management, and User Experience to define customer needs and use cases.
  • Create robust AI/ML software tools to enable AI Application development and contribute to a healthy open source community.
  • Develop and implement comprehensive unit, integration, and end-to-end tests to guarantee the reliability and performance in the upstream project, maintaining CI/CD workflows in GitHub, and ensuring downstream quality.
  • Participate in AI-assisted code reviews, utilizing tools that provide real-time feedback, identify potential bugs, security vulnerabilities, and adherence to coding standards, contributing to a more thorough and efficient review process.
  • Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.
  • Create and maintain clear, concise upstream technical documentation including API references and user guides and collaborating with our internal tech writers to create robust downstream documentation.
  • Evaluate and integrate the latest advancements in AI/ML technologies and toolkits to improve existing systems and develop new innovative solutions.
What You Will Bring
  • 3+ years of experience as a Software Engineer with experience in AI/ML development in Python.
  • Experience creating and optimizing container images.
  • Experience with AI and Machine Learning platforms, tools, and frameworks, such as LlamaStack, LangChain, PyTorch, LLaMA.cpp, vLLM, LangGraph, and Kubeflow.
  • Experience developing unit, functional, and end-to-end (E2E) test cases and automation.
  • Experience creating automation for GitHub, using GitHub Actions or related continuous integration tools.
  • Knowledgeable in hardware accelerators, such as CUDA and ROCm.
  • Ability to quickly learn and use new tools and technologies.
Nice to Haves
  • Experience working with Kubernetes/OpenShift and containers.
  • Understanding of DevOps methodology, Scrum, and/or Jira.
  • Bachelor's degree or higher in computer science or related discipline, or equivalent years of experience.

Red Hat is 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.

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