Senior Solutions Engineer

Act as a trusted technical advisor to LEA, IC, and telecom stakeholders.

Present complex solutions clearly to both engineers and non-technical decision-makers.

Support customer workshops, technical deep dives, and executive briefings.

Bridge the gap between operational users and IT/network teams.

Develop high-level and detailed architectures integrating SS8 solutions into existing customer environments.

Ensure alignment with telecom standards, lawful intercept frameworks, and regulatory requirements.

Collaborate with delivery teams to ensure smooth transition from design to implementation.

Partner with account teams to develop winning strategies for new and existing opportunities.

Own creation of proposals, quotes, SOWs, and technical documentation.

Support competitive positioning and articulate differentiators.

Provide structured feedback to product management on emerging trends, customer challenges, requirements analysis and field-driven insights based on field experience.

Influence product direction with real-world use cases and customer pain points.

7+ years in solution and systems engineering, sales engineering, network engineering, or solution architecture.

Demonstrated ability to design and size high-capacity, high-performance, mission-critical systems.

Strong understanding of telecom network architectures and signaling protocols:

3G, 4G LTE/EPC, and 5G Core

IMS, VoLTE, VoIP

IP networking (routing, switching, protocols)

Experience with lawful intercept frameworks and systems.

Solid understanding of data flows, packet capture, and network-based data collection.

Experience supporting or working with:

Law Enforcement Agencies (LEA)

Intelligence Community (IC)

Telecommunications Service Providers (CSPs)

Exposure to OSINT, location intelligence, or analytics platforms is a strong plus.

Hands-on experience with virtualization and/or cloud-native environments.

Solid knowledge of databases and storage systems.

Understanding of compliance, regulatory, and legal considerations in telecom and surveillance environments.

Experience with big data platforms (Hadoop, Spark, Elasticsearch).

Knowledge of AI/ML applications in intelligence or telecom analytics.

Cloud experience (AWS, Azure, or private cloud deployments).

50% typical, 75% peak