Level

Cisco

Solutions Engineer - Splunk

AI in this role

What You'll Do

As a Solutions Engineer (Splunk Security), you are the trusted technical authority driving customer success, SOC modernization, and revenue growth across enterprise accounts. You will partner with Account Executives to position coordinated Cisco and Splunk architectures, displacing competitors and solving sophisticated security challenges.

  • Architect & Influence: Lead technical pre-sales engagements with CISOs, SOC managers, and security architects to build end-to-end Threat Detection, Investigation, and Response (TDIR) and data platform solutions.
  • Modernize SecOps with Agentic AI: Build and demonstrate agentic AI and automated workflows that streamline alert triage, accelerate investigation, and reduce MTTD/MTTR.
  • Lead Technical Campaigns: Deliver high-impact architectural whiteboards, product demonstrations, and technical Proof of Value (PoV) that prove business value.
  • Cross-Architecture Integration: Position Cisco's unified security portfolio alongside Splunk, growing into full-stack observability and cloud-native telemetry (OpenTelemetry, Kubernetes, Multi-Cloud).
  • Feedback Loop: Interlock with Product Management and Engineering to relay customer requirements, competitive intelligence, and emerging market trends.

Who You'll Work With

You will join a high-performing, collaborative Solutions Engineering team partnered closely with Enterprise Account Executives, Product Specialists, and Customer Success teams. Externally, you will engage C-level security leaders, enterprise security operations teams, and outstanding channel partners across South Korea's leading enterprises.

Who You Are

Minimum Qualifications

Education & Experience:

  • Bachelor's degree or + 8+ years of technical sales / solutions engineering experience, OR
  • Master's degree + 6+ years of validated experience, OR
  • PhD or equivalent experience + 3+ years of validated experience.
  • Validated pre-sales track record in a customer-facing technical role (SE, Solutions Architect, or Technical Consultant).
  • Validated applied foundation in Security Operations (SOC), SIEM architecture, and detection engineering.

Preferred Qualifications

  • SecOps & SIEM Depth: Applied experience with Splunk Enterprise Security, Splunk SOAR, or equivalent enterprise SIEM/SOAR platforms; practical knowledge of the MITRE ATT&CK framework and TDIR lifecycles.
  • Agentic AI & Automation: Familiarity with agentic AI workflows, API orchestration, LLM/GenAI integrations, and security automation.
  • Observability & Cloud: Exposure to hybrid/multi-cloud environments (AWS, Azure, GCP), Kubernetes, or OpenTelemetry instrumentation.
  • Data & Scripting: Proficiency in SPL (Search Processing Language), Python, SQL, or regex for data onboarding and normalization (CIM).
  • Communication & Certifications: Strong executive presentation skills; business proficiency in Korean and English. Relevant certifications (Splunk Certified Admin/Architect, CISSP, Cloud Associate/Professional) are a plus.

Why Cisco? 

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. 

We are Cisco, and our power starts with you. 

How we rate this

Solutions Engineer - Splunk at Cisco rates 72 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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