Job description
Job details
- Location: US
- Work mode: Remote
- Employment type: Full-time (Not an internship)
- Salary: USD 185,000 - 245,000 per year
Role overview
Cribl is seeking a Staff Software Engineer for Infrastructure to help build the telemetry infrastructure required for the AI era. In this senior leadership role, you will develop scalable systems that enable Fortune 100 enterprises to manage and analyze telemetry data for both human operators and AI agents. You will bridge the gap between AI ambition and infrastructure reality by creating flexible, high-performance platforms.
Job details
This is a Full-time position based in the US. The role is Remote, allowing you to contribute to a fast-growing global team. This is not an Internship. The salary range for this position is 185,000 USD to 245,000 USD.
Responsibilities
- Design and implement high-scale telemetry infrastructure to support AI-driven workloads.
- Collaborate with IT and Security teams to optimize data flow and infrastructure flexibility.
- Lead the architectural direction for core platform components to ensure reliability and performance.
- Mentor mid-level and senior engineers through code reviews and technical guidance.
- Develop tools that provide customers with greater control over their telemetry data analysis.
Requirements
- Extensive experience in software engineering with a focus on large-scale infrastructure.
- Proven track record of designing distributed systems capable of handling massive data volumes.
- Strong proficiency in modern backend languages and cloud-native technologies.
- Ability to solve complex architectural challenges in a fast-paced, high-growth environment.
- Experience working with telemetry, logging, or monitoring systems at scale.
Benefits
- Competitive salary range from 185,000 to 245,000 USD
- Remote-first work environment
- Opportunity to work with half of the Fortune 100 companies
- Growth potential in one of the fastest-growing private companies
Keywords
InfrastructureTelemetryDistributed SystemsCloud EngineeringScalabilityAI PlatformBackend ArchitectureSystems Design