It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. Backed by Greylock and Sequoia.
About the role
We are hiring a Sr. software engineer for the Telemetry Data Platform team, which carries product usage telemetry & performance telemetry for the entire ServiceNow platform on a stack built with Kubernetes, Kafka, and ClickHouse. We are distributed across Israel, India, and the Americas. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelor’s degree in computer science, software engineering, or a closely related – Required
- 6+ years’ experience as backend software engineer
- 4+ years’ experience in designing and operating distributed systems
- 3+ years’ experience with Kubernetes in production, including Helm and CI/CD
- 3+ years’ experience with Kafka or equivalent streaming and data pipelines
More about this role
We are hiring a Sr. software engineer for the Telemetry Data Platform team, which carries product usage telemetry & performance 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 telemetry development, data pipelines, Kubernetes and DevOps work, supporting Billions of records per day. 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.
Design, build, and own backend services for distributed data streaming and processing that handle high-volume, high-cardinality event data with predictable latency and...
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