Red Hat's Secure Flow Engineering team is looking for a Software Engineer skilled in Golang/Java and Kubernetes to join the Portfolio and Delivery Engineering team. You will develop, optimize, and maintain build-focused CI/CD solutions on the OpenShift Container Platform, creating robust systems for containerized builds and contributing to Red Hat’s cloud-native CI/CD workflows.
What You'll Do
- Design, develop, and maintain core OpenShift Build features, focusing on reliability, scalability, and performance for cloud native CI/CD.
- Build and optimize components of the build pipeline, including integration with Kubernetes, Tekton, and related CI/CD tools.
- Drive technical direction and architecture discussions, ensuring the product aligns with OpenShift’s broader strategy.
- Collaborate closely with cross-functional teams, including product management, security, documentation, and other engineering teams to deliver robust and secure build solutions.
- Identify, troubleshoot, and resolve complex technical issues affecting the Builds for Red Hat OpenShift product.
- Contribute to upstream open source communities such as Shipwright, representing Red Hat’s vision and maintaining compatibility with the broader cloud native ecosystem.
What We're Looking For
- 2+ years of experience in software engineering, ideally in cloud-native or distributed systems.
- Proficiency in Golang (Go), with experience in developing scalable, high-performance applications.
- Understanding of Docker/containers, CI/CD principles, and container orchestrators like Kubernetes.
- Familiarity with OpenShift or other Kubernetes-based platforms.
- Experience working with build systems or CI/CD tools like Tekton, Jenkins, or GitOps workflows.
- Knowledge of cloud-native architecture, microservices, and best practices in DevOps.
- Excellent communication skills, with a collaborative and open-source mindset.
- Willingness to learn new technologies and make an impact.
- Good written and verbal communication skills in English.
- Practical knowledge of git and related source control management systems (ex: GitHub, GitLab).
Nice to Have
- Experience contributing to open source projects and familiarity with open source software development processes.
- Understanding of fundamental AI/ML concepts, algorithms, techniques and implementation of workflows.
- Familiarity with DevOps/MLOps practices and tools for managing the AI/ML lifecycle in production environments.
- Understanding of LLM training processes and data requirements. Experience in LLM fine-tuning, RAG and prompt engineering.
- Hands-on experience with LLMs (e.g., OpenAI GPT, Llama, or other transformer models) and their integration into applications(e.g. LangChain or Llama Stack).
Technical Stack
- Golang, Java, Kubernetes, OpenShift, Docker
- Tekton, Jenkins
- Git, GitHub, GitLab
- CI/CD
Team & Environment
You will join the Portfolio and Delivery Engineering team within the Secure Flow Engineering team.
Work Mode
This role is open to candidates in 40+ countries globally.
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.
