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Open nowPosted 39 days ago

Cribl Engineer - Active TS/SCI with CI Poly

Workable (global search)107,990 open roles

Where
Washington, DC, United States
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Your applicationOpen nowCribl Engineer - Active TS/SCI with CI PolyWorkable (global search) · Washington, DC, United States

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Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 6 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 39 days ago

Workable (global search) median: 6 days open

The posting

We are seeking a talented and motivated mid-level Cribl Engineer to join our Visibility Analytics and Automation Team (VAAT). In this role, you will play a crucial role in building, managing, and optimizing our enterprise data pipelines, with a strong focus on feeding our downstream SIEM ecosystem. Your primary focus will be designing and maintaining routing, filtering, and transformation logic using Cribl Stream and Cribl Edge. If you are passionate about logging, SIEM architecture, and solving complex data ingestion challenges, we would love to have you on the team.

What You’ll Work On:

  • Pipeline Development: Build, maintain, and optimize high-throughput data pipelines using Cribl Stream and Cribl Edge to ensure efficient data routing, masking, and transformation.
  • Data Integration & Schema Mapping: Normalize incoming log sources to standardized schemas (e.g., CIM, ECS) before routing to downstream SIEM platforms, analytics tools, and storage.
  • Engineering Support: Implement complex routing logic, data masking, enrichment, and replay workflows, utilizing custom JavaScript functions and Regex patterns directly within Cribl pipelines.
  • System Optimization: Monitor system health, assist in managing worker topology, and troubleshoot bottlenecks or failures in the data flow.
  • Automation: Utilize scripting (Python, Bash) and infrastructure-as-code tools (Ansible, Terraform) to automate deployment and configuration management.
  • Documentation: Maintain clear and accurate technical documentation, runbooks, and standard operating procedures for the observability infrastructure.

Requirements

  • 3–5 years of experience in Information Technology, focusing on logging, observability, or SIEM engineering.
  • 2–5 years of hands-on experience operating and managing data pipelines with Cribl Stream and/or Cribl Edge in a production environment.
  • 2+ years of experience administering or engineering enterprise SIEM environments, including a strong understanding of log forwarding, indexing, data collection, search architecture, source types, and ingestion-time parsing.
  • HS diploma or GED and 7+ years of experience with supporting IT projects and activities, Associate’s degree and 5+ years of experience supporting IT projects and activities, Bachelor’s degree and 3+ years of experience supporting IT projects and activities, or Master’s degree and 1+ years of experience supporting IT projects and activities.
  • Ability to obtain a DoD 8570.01-M Cybersecurity Service Provider - Infrastructure Support (CSSP-IS) Certification, including CEH, CySA+, GICSP, SSCP, CHFI, CFR, Cloud+, or CND certification within 30 days of offer accept
  • Ability to obtain a DoD 8570 IAT Level III Certification such as SecurityX (formerly CASP+), CCNP Security, CISA, CISSP (or Associate), GCED, GCIH, CCSP certification within 45 days of CSSP-IS date (or offer accept if candidate already has CSSP-IS Cert).
  • Active Cribl Certification (e.g., Cribl Certified Observability Engineer - CCOE).

Nice If You Have:

  • Relevant enterprise SIEM administrator or engineering certifications.
  • Understanding of data security fundamentals, including encryption, RBAC, and data masking strategies.
  • Strong fundamentals in Linux/Unix administration and working knowledge of transport protocols (HTTP, TCP, TLS) and data formats (JSON, Syslog).

Technical Skills:

  • Regex: Strong proficiency in writing complex Regular Expressions (Regex) for pattern matching, data extraction, and log parsing.
  • JavaScript: Solid proficiency using JavaScript within Cribl's native execution environment to write custom functions, execute advanced data transformations, and manipulate JSON/event payloads inside pipelines.
  • Log Schema Formats: Solid understanding of log normalization concepts and schema alignment, specifically Common Information Model (CIM) or similar frameworks (e.g., ECS, OCSF).
  • Systems & Protocols: Strong fundamentals in Linux/Unix administration and working knowledge of transport protocols (HTTP, TCP, TLS) and data formats (JSON, Syslog).
  • Excellent problem-solving abilities, strong attention to detail, and the ability to collaborate effectively in a team environment.

Benefits

Essential Network Security (ENS) Solutions, LLC is a service-disabled veteran owned, highly regarded IT consulting and management firm. ENS consults for the Department of Defense (DoD) and Intelligence Community (IC) providing innovative solutions in the core competency area of Identity, Credential and Access Management (ICAM), Software Development, Cyber and Network Security, System Engineering, Program/Project Management, IT support, Solutions, and Services that yield enduring results. Our strong technical and management experts have been able to maintain a standard of excellence in their relationships while delivering innovative, scalable and collaborative infrastructure to our clients.

Why ENS?

  • Free Platinum-Level Medical/Dental/Vision coverage, 100% paid for by ENS
  • 401k Contribution from Day 1
  • PTO + 11 Paid Federal Holidays
  • Long & Short Term Disability Insurance
  • Group Term Life Insurance
  • Tuition, Certification & Professional Development Assistance
  • Workers’ Compensation
  • Relocation Assistance

Candidate AI Usage Policy

AI tools are an important part of daily work at ENS Solutions, and we are committed to their responsible and ethical use. To ensure a fair and equitable candidate evaluation based on individual skills, knowledge, and experience, candidates are not permitted to use artificial intelligence or other assistive tools during interviews, whether in person or virtual, unless explicit permission has been granted in advance.

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