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Senior, niche Go+Kubernetes+AI platform role with moderate brand reduces qualified applicant density.
Role requires specialized Go, Kubernetes operators, AI serving and GPU knowledge, so background transferability is low.
Explicit 9+ years plus mandatory Go, Kubernetes, operator and platform experience makes shortlisting highly strict.
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Architect and develop scalable backend services and Kubernetes-native applications for the RackAI platform using Go and Kubernetes operator frameworks.
Lead AI-first engineering practices, embedding AI coding assistants to enhance code quality, velocity, and maintain operational and security standards.
Provide technical leadership and mentorship across multiple teams, including architectural reviews, coding standards, and driving platform evolution with cross-functional collaboration.
9+ years of software development experience, including 5+ years in production Go (Golang) development.
Deep expertise with Kubernetes architecture, operations, and application development including building Kubernetes operators/controllers with controller-runtime or kubebuilder.
Hands-on experience integrating AI coding assistants like Claude Code, Kiro, Codex, or GitHub Copilot into engineering workflows.
Experience with cloud-native technologies including RESTful APIs, microservices, containerization (Docker, OCI runtimes), CI/CD, and secure coding practices.
Senior engineer with strong architectural leadership and hands-on coding skills in both Go and Kubernetes-native development.
Experienced in driving adoption and best practices of AI-assisted engineering within software development teams.
Proven ability to lead complex technical projects end-to-end, mentor engineers, and collaborate cross-functionally to translate business needs into scalable technical solutions.