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Tier-1 employer and metro location increase applicant density despite niche systems focus.
Specialized GPU and distributed-systems focus increases domain specificity though core Kubernetes skills transfer across industries.
Explicit 8+ years, systems languages, Kubernetes, CI/CD, and Linux internals create strict filters.
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Improve performance, reliability, and scalability of a distributed system routing AI workloads on GPU fleets.
Design and deliver services in Java, Go, and Rust on an open-source Kubernetes-based platform with both control plane and edge deployments.
Automate and optimize build, test, integration, and release pipelines; steward the open-source project through community engagement and cross-team collaboration.
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) and strong knowledge of data structures, algorithms, and distributed architecture.
Strong understanding and hands-on experience with Kubernetes, container technologies, and CI/CD automation tools like GitLab and ArgoCD.
Experienced in building and optimizing high-throughput distributed systems with knowledge of performance, security, and reliability challenges.
Familiar with container orchestration internals and developing Kubernetes Custom Resources and Operators.
Comfortable working openly in an open-source environment, engaging with community contributions and collaborating across multiple engineering teams.