Staff SWE - K8s Observability

Key Responsibilities

• Lead the design of systems that collect telemetry and improve performance of inference workloads.
• Contribute directly to production code, remaining deeply hands-on in the design, implementation, and evolution of core platform components.
• Collaborate closely with other senior engineers, product managers and engineering leadership to coordinate and execute complex software development initiatives.
• Prototype, validate, and productionize new technical approaches related to AI workload observability and performance optimization.
• Identify opportunities to extend Kubex’s value beyond inference workloads, including potential future optimizations for training or hybrid workloads.

Required Qualifications

• 7+ years of professional software engineering experience, including significant experience building production software on Kubernetes.
• Strong experience designing or building observability and telemetry solutions using technologies such as Prometheus, OpenTelemetry, or similar platforms.
• Deep understanding of Kubernetes workloads, resource management, API interactions, and the operational challenges of running software across diverse customer clusters.
• Strong coding skills, preferably in Go, with experience building scalable, reliable, and testable distributed systems.
• Demonstrated ability to own technical architecture while remaining hands-on with implementation, prototyping, debugging, and production delivery.

Preferred Qualifications

• Experience building collectors, exporters, agents, or telemetry-processing pipelines for Kubernetes environments.
• Knowledge of performance analysis, resource optimization, scheduling, or infrastructure efficiency.
• Exposure to GPU-backed infrastructure, AI inference workloads, or GPU observability technologies.

Why Join Kubex?