Backend Engineer, Growth Infrastructure

Job not on LinkedIn

October 10

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Logo of Aerospike

Aerospike

API ‱ Artificial Intelligence ‱ SaaS

Aerospike is a distributed NoSQL database known for its high-speed, low-latency read and write operations, delivering millisecond response times. It is designed to handle massive amounts of streaming data from a variety of sources, making it suitable for applications that require real-time analytics, caching, session management, and AI-driven solutions. Aerospike supports various data models, including key-value pairs and JSON documents, enabling developers to efficiently manage complex datasets while maintaining high performance and scalability.

📋 Description

‱ Build scalable telemetry ingestion pipelines (API-first, Pub/Sub/Kafka optional, warehouse targets like BigQuery or Snowflake). ‱ Design and maintain licensing services for usage metering, entitlement APIs, high-watermark billing logic, and token/UUID validation. ‱ Develop and maintain developer-facing SDKs (Go, Java, Python, Node) and CLI tools for telemetry, feature flags, and license validation. ‱ Define schemas, thresholds, and event models aligned with licensing enforcement and adoption signals. ‱ Collaborate with PMs, RevOps, and CS on system health metrics, billing workflows, and customer-facing usage reporting. ‱ Ensure SDKs integrate with CDPs (Segment, RudderStack, Posthog) and internal telemetry pipelines (BigQuery, Snowflake, dbt). ‱ Maintain schema compatibility and versioning across services and SDKs. ‱ Support production services in a 24x7 on-call rotation, driving reliability and incident response. ‱ Build with scalability, maintainability, reliability, and security as core principles.

🎯 Requirements

‱ 4+ years of backend or SDK engineering experience (Go preferred; Java/Python also fine). ‱ Strong background in distributed systems, event-driven pipelines, or observability services. ‱ Experience building developer-facing SDKs, CLIs, or platform APIs. ‱ Familiarity with data warehouses (BigQuery, Snowflake, Redshift) and ETL/CDC patterns. ‱ Experience supporting production systems in a high-availability environment. ‱ Preferred: Familiarity with Datadog, Prometheus, Grafana, PagerDuty. ‱ Preferred: Background in hybrid SaaS/on-premises deployments and developer experience tooling.

đŸ–ïž Benefits

‱ Health insurance ‱ Retirement plans ‱ Paid time off ‱ Flexible work arrangements ‱ Professional development

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