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Sr Software Engineer, Cribl AI

ID: 9389

Type: Full-time

Category: Others

Company Name: Cribl

Location: United States

Education Level: Senior (5-10 years)

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Job Description

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.

Why You'll Love This Role

You will work closely with the founding team and a group of highly-skilled engineers to shape the future of search and analytics of observability data. You will play a central role in bringing integrating cutting-edge Generative AI technologies with the Cribl Product suite to help solve real customer problems.  You will work closely with development partners and key stakeholders to iteratively design, develop, and deliver products and surfaces that will delight our customers.
On top of it all you will have fun. Cribl strives to be a great place to work for everyone. 


As An Active Member Of Our Team, You Will...

  • Work with the product engineering teams to prototype and experiment with new AI features
  • Work across backend, frontend, and interact with LLMs and/or other ML models
  • Productionize, launch, and operate AI-based technology integrations into Cribl’s core products with the goal of solving real customer problems
  • Stay up-to-date with the latest AI technologies and trends
  • Work closely with fine tuning models, Prompt Engineering, and Inference Platforms
  • This position will require stand-by, on-call, or off-hours duties


If You've Got It - We Want It

  • Bachelor's degree in CS/EE with 6+ years of industry experience
  • Ability to problem solve from first principles and maintain focus on overarching objectives
  • Prior experience in contributing to products that have gained significant user traction or scaled to a large user base
  • Experience as an AI/ML Engineer
  • Experience with ML Ops
  • Experience with Typescript/JavaScript and either Node or React


Salary Range ($200,000 - $250,000)

The salary for this role is dependent on geographic location. The salary offered within the range described will be based on the individual candidate’s job-related knowledge, skills, and experience.  In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), equity, and eligibility for a discretionary company-wide bonus.

Bring Your Whole Self

Diversity drives innovation, enables better decisions to support our customers, and inspires change for the better. We’re building a culture where differences are valued and welcomed, and we work together to bring out the best in each other. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.

Interested in joining the Cribl herd? Learn more about the smartest, funniest, most passionate goats you’ll ever meet at cribl.io/about-us

Company Information

Company Name: Cribl

Company Website: https://www.cribl.io

Company Address: 22 4th St 1300, San Francisco, CA 94103, United States

Cribl is a privately held software company that builds data-routing and observability-pipeline solutions designed to give organizations control over the flow, cost, and format of machine-generated telemetry (logs, metrics, traces, and events). Cribl’s products address the operational challenges organizations face as volumes of observability and security telemetry grow: the need to reduce ingestion and storage costs, to route data to multiple analytic and archival destinations, and to transform and enrich telemetry to make it more useful for analytics, monitoring, and security use cases. Company overview and core activities At its core, Cribl develops software that sits between telemetry sources (applications, infrastructure, cloud services, security agents, and collectors) and telemetry destinations (analytics platforms, long-term storage, SIEMs, and data lakes). The company’s technology focuses on three primary objectives: (1) giving engineering and operations teams fine-grained control over which telemetry is retained, routed, or discarded; (2) transforming and enriching telemetry so it is more useful and cost-effective for downstream systems; and (3) enabling multi-destination routing so the same stream of data can be directed to multiple tools without re-ingestion or data duplication. Cribl’s solutions are aimed at DevOps, SRE, security, and observability teams that need to manage large volumes of machine data while maintaining visibility and reducing costs. The software is typically deployed in environments that produce high throughput telemetry — public cloud, hybrid cloud, containerized infrastructure, and large-scale enterprise deployments. Main products and services - Cribl Stream: Cribl’s flagship offering is an observability pipeline that ingests telemetry from diverse sources, processes that data through user-defined pipelines (for parsing, transforming, sampling, masking, and enriching), and then routes the processed data to one or more destinations. Stream provides a visual pipeline builder and rule-based processing so operators can map inputs to outputs, modify event content, drop or sample events to control volume, and add context to records before forwarding. Stream is designed to be protocol- and vendor-agnostic and supports common input and output targets. - Cribl Edge: A lightweight collector/agent intended for edge and remote locations, Cribl Edge allows organizations to perform local filtering and transformation of telemetry before it is sent to central processing or storage. This reduces bandwidth and ingestion costs by minimizing the amount of raw telemetry transmitted from distributed environments. - Cribl Search and Investigation Tools: Cribl offers functionality for searching and investigating telemetry across multiple storage locations without the need to move or re-index data into a single repository. These capabilities help security and operations teams run ad hoc queries against distributed or archived telemetry sources to troubleshoot, hunt for threats, or validate system behavior. - Cloud and deployment options: Cribl’s offerings are designed to be flexible with respect to deployment models. Customers can deploy self-hosted instances in on-premises environments, run in cloud-managed configurations, or use Cribl’s managed or SaaS offerings where available. This flexibility supports a wide range of organizational architectures from fully cloud-native to hybrid or air-gapped environments. Key capabilities and integrations Cribl emphasizes several technical capabilities that are central to its product value: sampling and rate limiting (to reduce telemetry volumes), parsing and schema handling (to normalize diverse data formats), enrichment (to add contextual metadata such as resource, tagging, or geo information), masking and redaction (for privacy and security compliance), and multi-destination routing (to send tailored subsets of data to analytics, monitoring, security, and archival systems). The platform integrates with a broad ecosystem of telemetry sources and destinations, including cloud provider services, SIEM platforms, search/analytics engines, object storage, message queues, and observability vendors. Typical use cases Common use cases include cost control (reducing ingestion and storage expenses by filtering or sampling high-volume telemetry), migration and consolidation (centralizing routing so organizations can adopt new analytics tools without changing instrumentation), security monitoring (enriching and routing security telemetry to SIEMs and threat-detection tools), and compliance (redacting sensitive fields before data leaves a controlled environment). Customers and market position Cribl is used by enterprise customers and organizations that operate large-scale telemetry environments and require an intermediary layer to manage and optimize observability data. The company positions itself as vendor-agnostic, enabling organizations to leverage existing observability and security investments while adding the ability to shape and route telemetry to new destinations. Cribl competes in the broader observability and data-routing space alongside vendors that offer collectors, SIEMs, analytics platforms, and other pipeline tools, and it is often adopted when customers need granular control over telemetry volume, costs, and distribution. Support, documentation, and community Cribl provides technical documentation, configuration guides, and community resources to help users deploy and operate its products. The company maintains documentation for connectors, pipeline functions, and deployment models, and typically provides enterprise support and professional services to assist larger customers with architecture, integration, and tuning of observability pipelines. Note: This description focuses on Cribl’s observable, verifiable product capabilities and the common technical and operational roles the company’s products serve. Specifics such as detailed pricing, release dates for particular features, and internal business metrics are not included here and should be referenced directly from the company’s official website and published materials for the most current information.
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