Back
Tier-1 employer and Bangalore location increase competition, but niche Kubernetes/GPU/Go-Rust specialization limits candidate pool.
Requires deep cloud-native, Kubernetes, and GPU platform experience, making cross-industry fit limited.
Multiple mandatory skills: 6+ years, Go/Java/Rust, Kubernetes, Linux internals, CI/CD.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Improve performance, reliability, and scaling of a distributed system routing AI workloads to GPU fleets.
Design and develop services in Java, Go, and Rust for an open-source, Kubernetes-based platform.
Automate and optimize cloud-native build, test, integration, and release processes; collaborate with engineering teams to integrate platform with NVIDIA technologies.
Bachelor’s or Master’s Degree in Computer Science or equivalent.
6+ years of hands-on software engineering experience.
Expert level in at least one systems programming language (Go, Java, Rust); strong knowledge of Data Structures, Algorithms, and Distributed Software Architecture.
Strong understanding of Kubernetes, container technologies, and continuous integration tools such as Gitlab & ArgoCD.
Experienced in building and maintaining distributed systems, especially with Kubernetes-based runtimes and container orchestration.
Capable of working with multiple programming languages (Java, Go, Rust) in open-source public repositories and community-driven projects.
Skilled in system internals of Unix/Linux, performance optimization, and secure, reliable distributed software design.