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Tier-1 employer plus metro location and general backend role offset by seniority and specialized GPU/Kubernetes skills.
Role requires deep GPU/distributed systems and Kubernetes expertise, limiting cross-industry transferability.
Explicit 8+ years, language and Kubernetes expertise, and systems performance experience enforce rigid filtering.
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Own performance, reliability, and scaling of a distributed system routing AI workloads to GPU fleets.
Design and develop services in Java, Go, and Rust on a public open-source platform integrating Kubernetes-based runtimes.
Automate and optimize build, test, integration, and release processes for cloud-native applications.
Bachelor’s or Master’s Degree in Computer Science or equivalent.
8+ years of hands-on software engineering experience.
Expertise in systems programming languages (Go, C, Rust) with knowledge of data structures, algorithms, and distributed software architectures.
Strong understanding and hands-on experience with Kubernetes and container technologies, including continuous integration automation (e.g., GitLab, ArgoCD).
Experienced working on distributed systems with knowledge of container orchestration and GPU-accelerated workloads.
Ability to contribute to and maintain an open-source project with public code, design proposals, and community interaction.
Background in performance optimization and system internals of Unix/Linux environments with scripting and automation skills.