Full-Time
Staff Software Engineer
Cloud
Posted on 1/17/2025
Cribl
501-1,000 employees
Data observability solutions for tech businesses
Senior, Expert
Remote in Canada
- Proven track record building maintainable, well-tested Node.js/TypeScript applications
- Deep experience with distributed systems and large-scale SaaS platforms
- Strong background developing cloud-native services on major providers (AWS preferred)
- Excellence in designing secure, intuitive RESTful APIs
- Expert knowledge of data structures, algorithms, Linux, and distributed systems principles
- Experience implementing secure web development practices and performance optimization
- Proficiency with modern testing frameworks (Mocha, Cypress, Jest)
- Strong initiative and demonstrated ability to learn quickly
- Passionate about software craftsmanship and attention to detail
- Drive technical excellence by defining and refining software development practices that emphasize quality, observability, and resilience
- Work on features, including authentication/authorization, orchestration, system notifications, and other platform features in order to support the multiple products Cribl offers to its customers
- Design and implement scalable solutions for complex distributed systems challenges using Node.js/TypeScript
- Mentor and empower junior engineers, helping them grow into technical leaders who can own major initiatives
- Partner with product teams and stakeholders to shape the technical vision and roadmap of your product area
- Balance technical debt, bug fixes, and new features through collaborative quarterly planning with Management, Product, and Operations teams
- Lead the full software development lifecycle while championing best practices in testing, deployment, and production monitoring
- Contribute across the full stack as we expand the capabilities of the Cribl platform
- Participate in an on-call rotation, embracing our culture of service ownership
- Experience mentoring and growing engineering teams
- Expertise with CI/CD pipelines (BitBucket, Jenkins, CircleCI)
- Experience working with authentication/authorization systems
- Background in building out platform services
- Strong background in cloud design patterns
- Experience with serverless/Lambda architectures
- Excellent communication skills and willingness to voice opinions
- Comfort working in a remote environment
- Appreciation for both good and questionably good jokes
- A fondness for goats is a plus!
Cribl operates in the data observability market, helping tech businesses manage and analyze their data. The company offers two main products: Cribl Stream and Cribl Edge. Cribl Stream enables businesses to route and transform logs and metrics, allowing them to efficiently manage data flow on their own infrastructure or through cloud services. Cribl Edge focuses on collecting and processing real-time observability data from edge devices, which can then be sent to Cribl Stream or other destinations. Cribl differentiates itself by providing seamless integration with platforms like Office 365 and Microsoft Azure, enhancing operational visibility for its clients. The company's goal is to create effective data ecosystems that improve data management and analysis for tech businesses.
Company Size
501-1,000
Company Stage
Private
Total Funding
$576.3M
Headquarters
San Francisco, California
Founded
2018
Simplify's Take
What believers are saying
- Cribl's $319M Series E funding boosts its expansion and innovation potential.
- Growing demand for data observability tools supports Cribl's market position.
- Cribl's Disk Spool Destination feature offers cost-saving benefits for MSSPs.
What critics are saying
- Emergence of Observo AI could threaten Cribl's market share in data observability.
- Rapid increase in telemetry data may outpace Cribl's current capabilities.
- Reliance on cloud service integrations poses risks if policies or pricing change.
What makes Cribl unique
- Cribl offers unique data routing and transformation with Cribl Stream and Cribl Edge.
- Integration with platforms like Office 365 and Azure enhances Cribl's data management capabilities.
- Cribl's focus on real-time data from edge endpoints sets it apart in observability.
Help us improve and share your feedback! Did you find this helpful?
Benefits
Competitive Salary
Stock Options
Medical, dental, and vision insurance
Flexible spending account (FSA)
401(k) plan offered (US)
Parental Leave
Professional Development and Career Growth
Generous Vacation and Holiday Policy, including 2 Floating Holidays for holidays you observe
Employee Resource Groups that reflect our values driven company culture
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 0%2 year growth
↑ 0%Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. The AI boom has set off an explosion of data. AI models need massive datasets to train on, and the workloads they power — whether internal tools or customer-facing apps — are generating a flood of telemetry data: logs, metrics, traces and more.Even with observability tools that have been around for some time, organizations are often struggling to keep up, making it harder to detect and respond to incidents in time. That’s where a new player, Observo AI, comes in. The California-based startup, which has just been backed by Felicis and Lightspeed Venture Partners, has developed a platform that creates AI-native data pipelines to automatically manage surging telemetry flows. This ultimately helps companies like Informatica and Bill.com cut incident response times by over 40% and slash observability costs by more than half.The problem: rule-based telemetry controlModern enterprise systems generate petabyte-scale operational data on an ongoing basis. While this noisy, unstructured information has some value, not every data point is a critical signal for identifying incidents
Our culture embraces the diversity of team members spread all across the globe.As An Active Member Of Our Team, You Will... * Develop features that integrate Cribl's data stream processing engine with data systems such as Splunk, Elastic Search, Kafka, AWS S3, Azure Blob Storage, Google Cloud Storage.
For scenarios where sending data offsite is unnecessary, Cribl Edge introduces an innovative solution: the Disk Spool Destination.
Cribl Global User Group is launching a series of Search Packs with multiple dashboards providing content designed to demonstrate their capability, functionality, and value.
Cribl, a San Francisco, CA-based data engine company for IT and security, raised $319M in Series E funding, at $3.5 Billion valuation