2 months ago
Base Salary
$165k - $200k/yr
Responsibilities
- Design and build Cribl’s customer-facing metric store for high-volume telemetry data.
- Develop scalable backend services and APIs for metric ingestion, storage, metadata management, and query execution.
- Design time-series data models and storage patterns involving dimensions, labels, fingerprints, rollups, and retention strategies.
- Improve query performance, ingestion throughput, storage efficiency, system reliability, observability, and operational resilience.
- Partner with Product and Design to turn observability workflows into customer-facing capabilities.
- Integrate metric storage and query functionality into broader Cribl product experiences.
- Define engineering practices for testing, deployment, monitoring, and operational readiness in a new product area.
- Coach less senior engineers and help them take ownership of larger technical problems.
- Help plan and forecast quarterly goals across features, technical debt, reliability, and customer needs.
- Support the full software development lifecycle from requirements and design through testing, deployment, and production support.
- Share on-call responsibilities and perform standby, on-call, or off-hours duties when required.
Requirements
- Applicants must be able to comply with U.S. government security requirements for access to FedRAMP-authorized systems, which may include U.S. citizenship.
- Strong experience building backend services in complex, large-scale distributed systems is required.
- Experience with SaaS platforms, data platforms, observability systems, or high-volume cloud services is required.
- Experience with time-series data, metrics, telemetry pipelines, query systems, or analytical databases is required.
- Experience designing secure, intuitive, and evolvable APIs and interfaces is required.
- Strong understanding of data structures, algorithms, Linux, networking, and distributed systems fundamentals is required.
- Experience with cloud infrastructure on AWS or another major cloud provider is required.
- Experience with storage systems, query performance, indexing, partitioning, caching, or data lifecycle management is required.
- Experience with Node.js and TypeScript is preferred.
- Experience with ClickHouse, Prometheus, Mimir, Thanos, VictoriaMetrics, OpenTelemetry, Kafka, Kinesis, or S3 is a strong plus.
- Experience with Mocha, Jest, Cypress, or similar testing tools is a strong plus.
- Experience with Bitbucket, Jenkins, CircleCI, GitHub Actions, or similar CI/CD systems is a strong plus.
- Candidates should be self-directed, detail-oriented, comfortable working in ambiguous technical areas, and able to balance correctness, performance, cost, operability, and customer experience.
Benefits
- Remote-first work arrangement
- Health, dental, vision, short-term disability, and life insurance
- Paid holidays and paid time off
- Fertility treatment benefit
- 401(k)
- Equity
- Corporate Bonus Program eligibility
- Base salary range of $165,000-$200,000 USD
Tech Stack
Apache KafkaAWSCircleCIClickHouseCypressGitHub ActionsJenkinsJestLinuxMochaNode.jsPrometheusTypeScript
Categories
BackendData Engineering
About Cribl
Cribl, the AI Platform for Telemetry, empowers enterprises to manage and analyze telemetry for both humans and agents. Trusted by organizations worldwide, including half of the Fortune 100, Cribl bridges the gap between AI ambition and infrastructure reality. No lock-in. No data loss. No compromises. Cribl’s vendor-agnostic platform ensures data remains portable and interoperable. By cost-effectively handling increasing data volume and variety without delay, Cribl gives enterprises the choice, control, and flexibility to build what’s next.