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Tier-1 brand and Bangalore metro increase competition, but senior specialized nature reduces density.
Systems/Kubernetes skills transfer across industries, but GPU-accelerated platform experience adds specialization.
Explicit 8+ years, mandatory systems/Kubernetes expertise, and specific languages make shortlisting highly strict.
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Improve performance, reliability, and scaling of a system routing AI workloads on distributed GPU fleets.
Design and ship services using Java, Go, and Rust in an open-source environment, handling code, proposals, and reviews transparently.
Automate and optimize build, test, integration, and release processes for cloud-native Kubernetes-based runtimes.
Bachelor’s or Master’s Degree in Computer Science or equivalent from an accredited institution.
8+ years of hands-on software engineering experience.
Expert knowledge in systems programming languages (Go, C, Rust) and strong understanding of Data Structures, Algorithms, and Distributed Software Architecture.
Strong understanding of Kubernetes and Container Technologies, with hands-on automation experience in CI/CD frameworks like Gitlab & ArgoCD.
Experienced in distributed systems performance, reliability, and security in complex environments.
Comfortable working openly on public repositories and engaging with the open-source community (issue triage, documentation).
Familiar with Kubernetes Custom Resources, operators, and cloud service providers; also experienced in pub-sub models and high-throughput network protocol optimizations.