Senior Staff Software Engineer, Splunk Security Core AI

Cisco

. Shape technical direction and lead cross-team Agentic SOC capabilities from concept through production improvement .

Posted 10/6/2026full-timeSan Jose • California • United StatesSenior💰 $214,100 - $309,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building AI-enabled production systems, with a focus on metrics-driven development and cross-team collaboration. Proficient in programming with Python or Go, and experienced in establishing identity and policy frameworks in various cloud environments.

Highest-signal resume keywords

AI Metrics DefinitionLarge-Scale Distributed SystemsPython ProgrammingCross-Team Technical LeadershipSOC and SIEM Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI-Enabled Production SystemsMetrics-Driven DevelopmentPython ProgrammingGo ProgrammingEvaluation and Experimentation LoopsGrounding and PlanningTool Use and Memory ManagementTrace AnalysisRegression AnalysisIncident Response

Soft Skills

Mentoring Senior EngineersCross-Team CollaborationTechnical Direction

Tools & Technologies

SplunkCiscoPublic CloudOn-Premises SystemsSovereign CloudAir-Gapped Environments

Industry Keywords

SOCSIEMIdentity PropagationPolicy EnforcementPrivacyAuditability

Tech Stack

Tools & technologies

CloudPythonSplunkGo

About the role

Key responsibilities & impact

Shape technical direction and lead cross-team Agentic SOC capabilities from concept through production improvement
Design and build reusable agent runtime, orchestration, governed tool-use, context and memory, evaluation, trace-analysis, and quality-gate capabilities
Translate SOC, SIEM, detection, incident, investigation, and response needs into shared mechanisms
Design agents for grounded reasoning, planning, delegation, human oversight, traceability, auditability, and safe failure handling
Define measurable AI success criteria, including task completion, groundedness, tool-use correctness, trajectory quality, human intervention, safety, latency, cost, and reliability
Establish metrics-driven development using datasets, evaluations, production traces, feedback, experiments, and regression gates
Connect AI quality metrics to production behavior and customer outcomes
Architect systems for public cloud, on-premises, sovereign cloud, and air-gapped environments
Establish identity propagation, authorization, tenant isolation, policy enforcement, privacy, auditability, and permission-aware action patterns
Evaluate and integrate technologies across Splunk and Cisco
Leverage AI tools throughout the software development lifecycle with human validation and security, privacy, and intellectual-property controls
Diagnose failures across models, prompts, tools, data, orchestration, services, infrastructure, and product integrations
Remain hands-on in implementation and design reviews, raise engineering standards, and mentor and influence senior engineers

Requirements

What you’ll need

6+ years of experience developing, testing, and/or operating production software
Experience building and/or operating large-scale distributed or AI-enabled production systems
Programming experience with Python or Go
Bachelor’s degree plus 10 years of related experience, or Master’s degree plus 6 years of related experience, or PhD plus 3 years of related experience
Preferred: experience with LLM and agentic-system concepts, including grounding, planning, tool use, memory, human oversight, evaluation, tracing, and regression analysis
Preferred: experience defining AI metrics, building evaluation and experimentation loops, and connecting offline results to production behavior and customer outcomes
Preferred: experience delivering software across public cloud, on-premises, sovereign cloud, or air-gapped environments
Preferred: familiarity with SOC, SIEM, detections, incidents, investigations, response, identity, policy, privacy, and auditability
Preferred: success leading cross-team technical initiatives, adopting shared technologies, mentoring senior engineers, and using AI responsibly throughout the software development lifecycle

Benefits

Comp & perks

Medical, dental and vision insurance
401(k) plan with a Cisco matching contribution
Paid parental leave
Short- and long-term disability coverage
Basic life insurance
Potential grants of Cisco restricted stock units, vesting following continued employment
10 paid holidays per full calendar year
1 floating holiday for non-exempt employees
Paid birthday off
Paid year-end holiday shutdown
4 paid personal wellness days
16 days of paid vacation per full calendar year for non-exempt employees
Flexible vacation time off program with no defined limit for eligible exempt employees
80 hours of sick time on hire and each January 1, plus up to 80 hours carried forward
Additional paid time away for critical or emergency family issues
Optional 10 paid volunteer days per full calendar year
Annual bonuses for non-sales roles, subject to Cisco policies
Performance-based incentive pay for sales-plan employees
Opportunities to grow and build on a global scale