TL;DR
Design and operate distributed edge computing infrastructure using Kubernetes, Linux, Go, and Python.
- •Join our Edge Platform team as a Senior Platform Engineer.
- •You'll design, build, and operate software and platform capabilities for our distributed edge computing infrastructure.
- •Key Responsibilities Design, develop, and maintain platform services, controllers, operators, and automation frameworks using Go and Python.
- •Build internal tools and APIs that simplify provisioning, lifecycle management, observability, and operations of edge infrastructure.
- •Develop software to automate infrastructure workflows, hardware lifecycle management, cluster operations, and fleet-wide orchestration.
- •Debug and optimize Linux systems across compute, storage, networking, and container workloads.
- •Architect, deploy, and manage highly available Kubernetes environments across edge and cloud infrastructure.
- •Requirements Extensive experience with Linux, Kubernetes, distributed systems, networking, and automation.
- •Proficiency in Go and Python for developing platform components and operational tooling.
- •Strong understanding of kernel-level performance issues, CPU scheduling, memory management, I/O subsystems, networking, filesystems, and containers.
- •Experience with analyzing kernel and userspace behavior using tools such as perf, eBPF, strace, tcpdump, bpftrace, and system profiling utilities.
- •Ability to participate in root cause analysis of production incidents involving operating systems, containers, and distributed systems.
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