Location: Various Locations throughout DC, MD, VA dependent on engagement.

Clearance Requirement: TS/SCI w/ poly desired (open to Secret and above dependent on opportunity).

Position Overview: We are seeking a highly skilled and motivated Splunk Consulting Engineer to join our team. In this role, you will work closely with clients to implement, configure, and optimize Splunk solutions, providing expert guidance and support to ensure that Splunk is utilized to its full potential for security monitoring, log management, and data analytics.

Key Responsibilities:

• Work with clients to understand their business requirements and design tailored Splunk solutions.

• Implement and configure Splunk Enterprise and premium apps (ITSI, ES, SOAR, UBA), including data   ingestion, searches, dashboards, and alerts.

• Optimize and fine-tune Splunk environments for performance, scalability, and efficiency.

• Provide best practices for Splunk deployments, troubleshooting, and support.

• Collaborate with cross-functional teams to integrate Splunk with other systems and applications.

• Conduct training sessions and knowledge transfer to clients on Splunk usage and administration.

• Assist with security, compliance, and log management requirements using Splunk.

Qualifications:

• Proven experience as a Splunk Administrator, Engineer, or Consultant.

• Strong expertise in Splunk Enterprise, Splunk Cloud, and related technologies.

• Hands-on experience with SPL (Search Processing Language), dashboard creation, and report generation.

• Familiarity with log management, security monitoring, and data analytics concepts.

• Ability to engage with clients and translate technical requirements into solutions.

• Excellent troubleshooting and problem-solving skills.

• Strong communication and presentation abilities.

Preferred Skills:

• Splunk Certifications: Certified Core Consultant or Architect.

• Experience with other SIEM or monitoring tools.

• Knowledge of scripting languages (e.g., Python, Bash) for automation.

Location: Various Locations throughout DC, MD, VA dependent on engagement.

Clearance Requirement: TS/SCI w/ poly desired (open to Secret and above dependent on opportunity)

Position Overview: We are seeking a highly skilled and motivated Cribl Consulting Engineer to join our team. In this role, you will work closely with Public Sector clients to design, configure, implement, and optimize Cribl solutions by providing expert guidance and support to ensure that Cribl is utilized to its full potential for data management.

Key Responsibilities:

• Partner with clients to assess their observability and log management needs and provide expert guidance on Cribl products.

• Design and implement Cribl Stream, Edge, Search, and Lake solutions to optimize data pipelines.

• Assist with onboarding, configuration, and tuning of Cribl solutions for maximum efficiency.

• Integrate Cribl with SIEM, security, and monitoring tools such as Splunk, Elastic, Datadog, etc.

• Develop automation scripts and workflows to streamline Cribl deployments.

• Provide hands-on troubleshooting and support to resolve client issues.

Qualifications:

• Proven experience as a professional services consultant, solutions engineer, or consulting style role related to observability, data engineering, or IT operations.

• Strong understanding of log processing, data transformation, and streaming technologies. Experience with Cribl Stream, Edge, or Search is highly preferred.

• Experience integrating Cribl with SIEM, security, and monitoring platforms (Splunk, Elastic, Datadog, LogRhythm, etc).

• Proficiency in scripting languages such as Python, Bash, or PowerShell.

• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).

• Excellent troubleshooting and problem-solving skills.

• Strong soft skills, communication and presentation abilities. Ability to translate technical concepts to non-technical stakeholders.

Preferred Skills:

• Cribl Certified Administrator or similar certifications.

• Experience with data observability, security analytics, or AIOps.

• Background in log aggregations, SIEM, or monitoring tools.

• Knowledge of scripting languages (e.g., JavaScript, Python, Bash) for automation.