51 to 55 of 55 Google Kubernetes Engine Jobs

management. 7 years of experience in customer management and stakeholder engagement for deployments. 5 years of experience with AI/ML infrastructure (e.g., GPUs, GKE, EKS, Kubernetes, Kubeflow). Preferred qualifications MBA or advanced degree in Computer Science, Engineering, or a related field. Experience in customer-facing migration, including ...

heavy infrastructure-tuning autoscalers, profiling services, and finding the perfect balance between peak reliability and cloud cost efficiency. What You'll Do Optimize GKE at Scale: Hands-on rightsizing of massive Kubernetes workloads and advanced autoscaler tuning. Profile JVM Services: Deep-dive into Java performance, interpret GC logs … infrastructure with a proven, hands-on track record in resource efficiency (not just monitoring). Deep Cloud & K8s expertise: Strong knowledge of GCP/GKE (or equivalent AWS/Azure depth with a willingness to switch). Strong Java/JVM skills: Ability to profile services, debug resource contention ...

Principal Software Engineer I for the R&D Policy Team. This team owns the full lifecycle of Menlo’s cybersecurity policy platform — the engine that defines how the product protects enterprise customers from web-based threats. That spans policy storage and management (authoring, versioning, and serving the rules that … hands‐on backend development in Python, Node.js, or Go; 5+ years with cloud platforms (AWS or GCP), including managed Kubernetes (EKS/GKE). Proven experience architecting distributed systems with strong reliability, scalability, and low‐latency requirements — ideally in a security, networking, or high‐throughput data path context. Hands ...

heavy infrastructure-tuning autoscalers, profiling services, and finding the perfect balance between peak reliability and cloud cost efficiency. What You'll Do Optimize GKE at Scale: Hands-on rightsizing of massive Kubernetes workloads and advanced autoscaler tuning. Profile JVM Services: Deep-dive into Java performance, interpret GC logs … infrastructure with a proven, hands-on track record in resource efficiency (not just monitoring). Deep Cloud & K8s expertise: Strong knowledge of GCP/GKE (or equivalent AWS/Azure depth with a willingness to switch). Strong Java/JVM skills: Ability to profile services, debug resource contention ...

SENIOR HPC/COMPUTE ARCHITECT ROLE OVERVIEW Owns the strategy and design for optimising risk computation stack across both the C++ engine and the Rust library, from initial architecture through production stabilisation and intraday extension. Responsible for architecture, validation strategy, and technical metrics framework. KEY RESPONSIBILITIES - Define the performance … architecture: distributed computation orchestration, job scheduling, workload partitioning for large-scale risk batch; GCP-native grid or cloud HPC frameworks - GCP compute infrastructure: GKE batch workloads, GCE instance selection for compute-intensive workloads, Cloud Batch or equivalent - Performance profiling discipline: CPU profilers (perf, VTune, gperf), memory allocator analysis, latency measurement ...