Teams at CloudRaft

Build and deploy production AI systems, agents, APIs, backend services, data pipelines, and models. Work directly with customers to translate business challenges into technical solutions, automate workflows, run experiments, measure outcomes, and iterate quickly. The role requires strong software engineering and system design fundamentals, AI knowledge, cloud or Kubernetes familiarity, comfort with ambiguity, and strong communication skills.

Design, build, operate, and scale reliable cloud-native infrastructure for partner organizations. Manage Kubernetes clusters, CI/CD pipelines, observability platforms, infrastructure as code, and production incident response. Implement SRE practices including SLIs and SLOs, automate operational workflows using Go or Python, support 24/7 on-call coverage, and explore AI, AIOps, and GPU infrastructure. Contribute to technical documentation, presentations, and open-source projects.

Participate in building and maintaining cloud-native software using Go. Contribute to Kubernetes, Prometheus, CloudNativePG, and other CNCF projects; debug distributed systems; improve infrastructure; collaborate with customers; and own tasks from design through documentation. The internship emphasizes open-source contributions, systems engineering, continuous learning, and potential transition to a full-time engineering role.