Staff Software Engineer - Infrastructure,Kubernetes

About the role 

We are hiring a staff software engineer (IC4) for the Telemetry Data Platform team, which carries product usage telemetry for the entire ServiceNow platform on a stack built with Kubernetes, Kafka, and ClickHouse. We are distributed across Israel, India, and the Americas. 

This is a full stack role with its center of gravity firmly on the infrastructure side — expect roughly two-thirds of your time on telemetry infrastructure, data pipelines, Kubernetes and DevOps work, and the rest on the services and product surfaces on top. You will be equally comfortable designing a distributed system and owning it in production. If you like following a system from the event that fires to the chart that renders — and you want the pager for it — you will feel at home. 

You will lead design and delivery of complex, multi-service features, own technical decisions within a domain, and are fully self-directed — escalating only genuine ambiguities and driving decisions to closure. Of the ten critical skills at this level, incident response management is the only one set at Expert; the rest are Experienced. 

What you’ll do 

Telemetry infrastructure and data pipelines 

• Design, build, and own backend services for distributed data streaming and processing that handle high-volume, high-cardinality event data with predictable latency and no silent data loss. 

• Build and maintain Kafka-based streaming pipelines and the pipeline components that feed ClickHouse. 

• Own data modeling and query performance in ClickHouse — partitioning, sort keys, materialized views, retention, and the cost curve that comes with all of it. 

• Partner with product and platform teams to shape requirements for telemetry ingestion and processing, then drive the solutions to production. 

Kubernetes, DevOps, and production ownership 

• Deploy, scale, and operate services in production Kubernetes environments, including Helm-based deployments and CI/CD pipelines that make releases repeatable and safe to roll back. 

• Own observability for what you build — meaningful metrics, useful logs, real tracing, and alerts that fire on customer impact rather than on noise. 

• Debug and resolve production incidents independently, participate in on-call, run root-cause analysis, and operate against defined service level objectives. 

Full stack engineering and technical leadership 

• Own the full development lifecycle for your work, and build the backend services and APIs that expose telemetry to internal consumers, product surfaces, and AI agents — including API contracts, data models, and schema migrations. 

• Contribute to the analytics front end — dashboards, funnels, and exploration tools — with an eye on performance against large result sets, and improve the web and mobile capture SDKs. 

• Lead the design of complex, multi-service features across team boundaries, drive decisions to closure, and write the design docs and postmortems that outlive the conversation. 

• Raise the bar through code review, test strategy, and automation coverage, and mentor engineers on the team.

Department: Engineering, Infrastructure and Operations
Function: Engineering
Experience Level: Not Applicable