Sr. Software Engineer - Systems Insights

Join the company that’s building the telemetry infrastructure for the AI era. At Cribl, we partner with IT and Security teams at many of the world’s biggest enterprises, including half of the Fortune 100, to bridge the gap between AI ambition and infrastructure reality. As the AI Platform for Telemetry, we give customers the choice, control, and flexibility to manage and analyze telemetry for both humans and agents, so they can build what’s next.

We’re one of the fastest-growing private companies and a leading player in a massive, fast-moving market. With a global workforce, we’re remote-first and grounded in a simple idea: software is a people business. Cribl is the place where curious, collaborative people can do their best work, grow fast, and bring their full selves to the herd.

Cribl is building the next generation of customer-facing metric storage and query capabilities for observability data at massive scale. We are looking for a Senior Software Engineer to help design and build the metric store that will power how customers ingest, retain, query, and analyze their time-series data across Cribl products.

This role is ideal for someone who loves distributed systems, high-volume data platforms, query performance, and the practical realities of building reliable SaaS infrastructure. You will work on systems that handle high-cardinality telemetry, customer-facing APIs, storage schemas, query paths, ingestion pipelines, and the operational tooling needed to run them in production.

You will partner closely with Product, Design, Engineering, and Operations to shape a critical new product capability from early architecture through production hardening. The work will span backend services, data modeling, performance optimization, cloud infrastructure, and customer-facing product behavior. Your technical leadership will help define how Cribl customers store, explore, and act on their metrics for years to come.

• 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

• 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
• 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
• 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

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