Senior Technical Consultant | Public Sector | Remote

Senior Technical Consultant | Public Sector | Remote

United States

Endgame Systems, LLC provides consulting services related to Elastic technology to Government agencies with heightened security needs. Endgame Systems, LLC is a wholly-owned subsidiary of Elastic. Elastic is a free and open search company that powers enterprise search, observability, and security solutions built on one technology stack that can be deployed anywhere. From finding documents to monitoring infrastructure to hunting for threats, Elastic makes data usable in real-time and usands of organizations worldwide, including Barclays, Cisco, eBay, Fairfax, ING, Goldman Sachs, Microsoft, The Mayo Clinic, NASA, The New York Times, Wikipedia, and Verizon, use Elastic to power mission‑critical systems.

Founded in 2012,
Elastic is a distributed company with Elasticians around the globe. Endgame Systems, LLC, while a subsidiary of Elastic, is an independent entity focused on Government services.

Elastic is expanding its Federal Consulting Team to support public sector customers remotely, with opportunities to support customers across the U.S. and internationally. This role requires an active U.S. Federal Secret security clearance (or higher).

As a Senior Technical Consultant at Elastic, you will work closely with customers to deliver Elastic solutions and provide expertise on the Elastic Stack. You will act as a trusted technical advisor, guiding strategy, architecture design, and capacity planning in mission‑critical environments. The ideal candidate is technically adept, proactive about self‑improvement, and skilled in building strong customer relationships.

• Plan, lead, and oversee Elastic consulting engagements (remote and on‑site) to maximize customer value from Elastic products.
• Architect, implement, configure Elastic solutions, focusing on platform architecture, solution design, and capacity planning in mission‑critical environments.
• Build strong relationships as a customer advocate, ensuring excellent communication and collaboration.
• Develop and present demos and proof‑of‑concepts that showcase the value of the Elastic Stack.
• Conduct data modeling, query development, optimization, and cluster tuning for scalable, high‑performance search and analytics.
• Collaborate with other consultants to solve complex technical challenges in a team‑oriented environment.
• Review and approve technical consulting reports that articulate project outcomes and recommendations.
• Mentor and coach consultants through enablement programs, shadowing, and ongoing training.
• Participate in technical interviews to assess and onboard new consultants.
• Work effectively in a remote, highly distributed team environment, with periodic on‑site engagements.

• Active U.S. Federal security clearance (Secret or higher).
• Anticipate working remotely with some travel.
• At least 3 years of experience as a consultant or technical instructor in client‑facing engagements.
• Proven ability to work with customers to capture requirements, plan, and deliver technical solutions aligned with business needs.
• Minimum of 5 years of experience as a Systems Engineer/Administrator, Network Engineer/Administrator, Cloud Engineer/Administrator, or similar role.
• Build and operate secure cybersecurity data pipelines into Elastic. Design/deploy ingestion for diverse log sources, normalize to ECS, implement parsing, optimize Logstash architectures/performance, and ensure resiliency, failover, and lifecycle alignment.
• Own customer outcomes and team enablement. Partner with customers to identify critical events and reduce noise, manage Elastic Agent/Fleet deployments (including air‑gapped repos), maintain Logstash infrastructure (VMs/Kubernetes), and mentor/train teammates.
• Proficiency in designing, implementing, and optimizing solutions with Elasticsearch or similar distributed data technologies.
• Strong understanding of Linux, Unix, and Windows operating systems, including command‑line interfaces.
• Familiarity with information retrieval and analytics domains.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
• Experience with databases, including SQL,…