Cisco
Senior Staff Software Engineer, Splunk Security Core AI, Agentic SOC (hybrid)
$192K–$356K
San Jose, California, US +1 · Hybrid · Senior Staff · Full-time · Posted Oct 30, 2026
- Location
- San Jose, California, US
San Francisco, California, US - Experience
- 6+ years developing, testing, and/or operating production software; degree-related alternatives: Bachelors + 10 years, Masters + 6 years, or PhD + 3 years of related experience.
- Education
- Bachelors + 10 years of related experience, or Masters + 6 years of related experience, or PhD + 3 years of related experience.
About the job
Build shared AI-agent platforms, orchestration, and evaluation systems for Cisco and Splunk security products, taking agentic SOC capabilities from design through measurable production improvement.
What you'll do
- Lead cross-team technical direction and deliver Agentic SOC capabilities from concept through production.
- Design reusable agent runtime, orchestration, governed tool-use, context, memory, evaluation, tracing, and quality systems.
- Build measurable, secure, and reliable AI systems for varied deployment environments, connecting evaluation results to production behavior and customer outcomes.
What they ask for
- 6+ years developing, testing, and/or operating production software.
- Experience building and/or operating large-scale distributed or AI-enabled production systems, and programming with Python or Go.
- Bachelors + 10 years of related experience, or Masters + 6 years of related experience, or PhD + 3 years of related experience.
Nice to have
- Experience with LLM and agentic-system concepts, AI evaluation metrics, experimentation loops, and production outcomes.
- Experience with cloud, on-premises, sovereign cloud, or air-gapped delivery; familiarity with SOC/SIEM and security operations.
Pay
$214,100.00 to $309,800.00 USD (base salary); $214,100.00 - $356,300.00 USD (base salary); $192,400.00 - $317,200.00 USD (base salary)
Tools
Python, Go, Splunk, Cisco
AI focus
Develop trusted AI agents and shared agentic SOC platforms, including orchestration, governed tool use, reasoning, evaluation, trace analysis, and quality gates; apply AI tools across the software development lifecycle with human validation and security, privacy, and intellectual-property controls.
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