Software Engineer- Golang/Java, Kubernetes

About the job:

The Red Hat Secure Flow Engineering team is looking for a highly motivated and passionate Software Engineer to join our Portfolio and Delivery Engineering team.

As a member of this dynamic team, you will play a crucial role in developing, optimizing, and maintaining build-focused CI/CD solutions on top of the OpenShift Container Platform. In this role, you will work on creating robust and scalable systems for containerized builds, empowering developers with next-generation container image build toolkits, and contributing to the core of Red Hats cloud-native CI/CD workflows. You will play a vital part in delivering a reliable and secure experience for developers deploying applications on OpenShift.

What will you 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 OpenShifts 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 , representing Red Hats vision and maintaining compatibility with the broader cloud native ecosystem.

What will you bring?

• 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).
• Experience contributing to open source projects and familiarity with open source software development processes is an advantage.

Following is considered as plus:

• 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)