Sr. Software Engineer - Systems Insights

Cribl is a company building the telemetry infrastructure for the AI era, partnering with IT and Security teams at major enterprises. They are seeking a Senior Software Engineer to design and build a metric store for high-volume telemetry data, focusing on distributed systems and backend services.

Responsibilities:

• Help design and build Cribl’s customer-facing metric store for high-volume telemetry data
• Write clean, maintainable, and testable code with an eye toward 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 across Cribl to integrate metric storage and query capabilities into broader product experiences
• Analyze and improve query performance, ingestion throughput, storage efficiency, and system reliability
• Help define engineering practices for a new product area, including testing, deployment, monitoring, and operational readiness
• Coach and empower less senior engineers to own larger technical problems and grow their impact
• Work with Management, Product Engineering, and Operations to plan and forecast quarterly goals that balance new features, technical debt, reliability, and customer needs
• Champion the full software development lifecycle from requirements and design to testing, deployment, and production support
• Share on-call responsibilities as part of a team that embraces service ownership
• This position may require stand-by, on-call, or off-hours duties

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
• 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
• You are a self-starter who can operate with minimal supervision and learn quickly in ambiguous technical areas
• You care about details and are dedicated to elegant, high-quality software
• You are comfortable making tradeoffs between correctness, performance, cost, operability, and customer experience
• No fear! Speak your mind
• Experience with observability concepts such as metrics, labels, dimensions, cardinality, histograms, counters, gauges, and query languages such as PromQL is a strong plus
• Experience with systems such as ClickHouse, Prometheus, Mimir, Thanos, VictoriaMetrics, OpenTelemetry, Kafka, Kinesis, S3, or similar technologies is a strong plus
• Experience using testing frameworks and tools such as Mocha, Jest, Cypress, or similar tools to automate regression checks
• Experience with CI/CD pipelines such as Bitbucket, Jenkins, CircleCI, GitHub Actions, or similar systems