Senior Software Engineer – Systems Insights

Cribl

Senior Software Engineer designing and building customer-facing metric storage for telemetry data. Collaborating with teams to enhance data ingestion, storage, and query execution at Cribl.

Posted 7/7/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $165,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building scalable backend services and APIs for high-volume telemetry data, with a strong focus on performance, observability, and operational resilience. Proficient in data modeling for time-series data and experienced in collaborating across teams to enhance product capabilities.

Highest-signal resume keywords

Backend Service DevelopmentNode.js and TypeScript ProficiencyTime-Series Data ManagementAPI Design and SecurityCloud Infrastructure Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend Service DevelopmentNode.jsTypeScriptTime-Series DataAPI DesignData StructuresAlgorithmsLinuxDistributed SystemsObservability Concepts

Soft Skills

Self-StarterDetail-OrientedEffective CommunicationTeam CollaborationMentoring

Tools & Technologies

AWSClickHousePrometheusKafkaKinesisS3MochaJestCypressCI/CD Pipelines

Industry Keywords

SaaS PlatformsObservability SystemsTelemetry PipelinesCloud ServicesData Lifecycle Management

Tech Stack

Tools & technologies

AWSCloudCypressDistributed SystemsJavaScriptJenkinsJestKafkaLinuxMochaNode.jsPrometheusTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

health insurance
dental
vision
short-term disability
life insurance
paid holidays
paid time off
fertility treatment benefit
401(k)
equity