Staff Software Engineer - Infrastructure,Kubernetes

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.

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