FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Tech Stack
Tools & technologiesCloudDistributed SystemsGoKubernetesMicroservicesOpen SourceSDLC
About the role
Key responsibilities & impact- Design, develop, and maintain core product capabilities for Red Hat's multicluster management platform using Go (Golang), Kubernetes, and distributed systems technologies.
- Build cloud-native platform services, APIs, controllers, operators, and control-plane components that enable enterprise-scale Kubernetes management.
- Design scalable and reusable platform features that address broad customer needs and become part of the product roadmap.
- Participate in reviews, technical design discussions, code reviews, testing, debugging, and continuous product improvement initiatives.
- Design, optimize, and orchestrate context-building strategies for Large Language Models (LLMs) to improve software engineering workflows.
- Build and enhance context pipelines, context harnesses, and evaluation mechanisms that improve the accuracy, determinism, and effectiveness of AI-generated outputs.
- Contribute to the evolution of an Agentic Software Development Lifecycle (SDLC) through intelligent agents, autonomous workflows, and AI-native engineering practices.
- Apply context engineering techniques to ensure AI tools generate context-aware, reliable, and high-quality software artifacts.
- Evaluate and leverage AI-assisted development tools to improve developer productivity, engineering velocity, and software quality.
- Help establish best practices for integrating AI into modern software development workflows.
- Actively contribute to Open Cluster Management (OCM) and related Kubernetes and CNCF ecosystem projects.
Requirements
What you’ll need- 3+ years of software engineering experience building platform products, infrastructure software, cloud-native platforms, or distributed systems.
- 1+ year of hands-on experience in AI context engineering, context orchestration, prompt engineering, retrieval optimization, or AI-native developer workflows.
- Practical experience using AI-assisted development tools such as Claude Code, Gemini Code Assist, GitHub Copilot, Cursor, Aider, Continue, or similar platforms.
- Experience with either Go (Golang) development or Kubernetes platform technologies.
- Strong understanding of distributed systems, APIs, microservices, and cloud-native architecture principles.
- Strong analytical, debugging, troubleshooting, and problem-solving skills.
- Familiarity with modern software engineering practices including CI/CD, automated testing, observability, and Agile development methodologies.
- Strong communication and collaboration skills with the ability to work effectively in globally distributed teams.
- Passion for platform engineering, open source development, and emerging AI technologies.
Benefits
Comp & perks- Health insurance
- Flexible working hours
- Professional development opportunities
- Remote work options
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
GoGolangKubernetesdistributed systemscloud-native platformsAPIsmicroservicesAI context engineeringcontext orchestrationprompt engineering
Soft Skills
analytical skillsdebugging skillstroubleshooting skillsproblem-solving skillscommunication skillscollaboration skills