Sr. Software Engineer
Senior Software Engineer building a scalable customer-facing metric store for high-volume time-series telemetry data at Cribl. Requires strong distributed systems and backend experience (Node.js/TypeScript preferred) to design ingestion, storage, query engines, and observability infrastructure.
About the job
Responsibilities
- Design and build Cribl’s customer-facing metric store for high-volume telemetry data.
- Write clean, maintainable, and testable code with focus on performance, observability, and operational resilience.
- Build scalable backend services and APIs for metric ingestion, storage, metadata management, and query execution.
- Work on data modeling and storage patterns for time-series data, including high-cardinality dimensions, labels, fingerprints, rollups, and retention strategies.
- Partner with Product and Design to turn complex observability workflows into intuitive customer-facing capabilities.
- Collaborate with engineers to integrate metric storage and query capabilities into broader product experiences.
- Analyze and improve query performance, ingestion throughput, storage efficiency, and system reliability.
- Define engineering practices for a new product area, including testing, deployment, monitoring, and operational readiness.
- Coach and empower less senior engineers.
- Plan and forecast quarterly goals balancing new features, technical debt, reliability, and customer needs.
- Champion the full software development lifecycle from requirements through production support.
- Share on-call responsibilities.
Requirements
- Ability to comply with U.S. government security requirements for access to FedRAMP-authorized systems (may include U.S. citizenship).
- Strong experience building backend services in complex, large-scale distributed systems.
- Ability to write clean, maintainable, and testable production code, preferably in Node.js and TypeScript.
- Experience building SaaS platforms, data platforms, observability systems, or high-volume cloud services.
- Experience working with time-series data, metrics, telemetry pipelines, query systems, or analytical databases.
- Experience designing APIs and interfaces that are secure, intuitive, and built for long-term evolution.
- Strong understanding of data structures, algorithms, Linux, networking, and distributed systems fundamentals.
- Experience with cloud infrastructure on AWS or another major cloud provider.
- Experience with storage systems, query performance, indexing strategies, partitioning, caching, or data lifecycle management.
- Self-starter who can operate with minimal supervision and learn quickly in ambiguous technical areas.
- Dedicated to elegant, high-quality software.
- Comfortable making tradeoffs between correctness, performance, cost, operability, and customer experience.
Nice-to-Haves
- Experience with observability concepts such as metrics, labels, dimensions, cardinality, histograms, counters, gauges, and query languages such as PromQL.
- Experience with systems such as ClickHouse, Prometheus, Mimir, Thanos, VictoriaMetrics, OpenTelemetry, Kafka, Kinesis, S3, or similar.
- Experience using testing frameworks such as Mocha, Jest, Cypress.
- Experience with CI/CD pipelines such as Bitbucket, Jenkins, CircleCI, GitHub Actions.
Skills
Node.js, TypeScript, Distributed Systems, AWS, Time Series Data, Promql, ClickHouse, Prometheus, Kafka, S3, Jest, GitHub Actions
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