Technical Lead, Splunk Security Core AI Agentic SOC

Cisco

. Design and deliver components across the shared Security AI runtime, orchestration, evaluation, and applied-quality systems .

Posted 10/27/2026full-timeRemote • California • United StatesSenior💰 $166,300 - $238,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and operating production AI and distributed systems, with a strong focus on Python and Golang programming. Capable of designing complex systems for various environments while ensuring security, privacy, and compliance.

Highest-signal resume keywords

Production Software EngineeringPython ProgrammingGolang ProgrammingAI Systems DevelopmentCloud-Native Software Delivery

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Production Software DevelopmentComplex System DesignDebugging and MaintenanceBehavioral EvaluationRegression AnalysisContainerizationOrchestrationEvaluation FrameworksTelemetryAgent Runtime

Soft Skills

Mentoring EngineersCollaborationKnowledge Sharing

Tools & Technologies

Cisco TechnologiesSplunk TechnologiesSOCSIEM

Industry Keywords

AI Behavior ImprovementIdentity PropagationPolicy EnforcementAuditabilityHuman Oversight

Tech Stack

Tools & technologies

CloudDistributed SystemsPythonSplunkGo

About the role

Key responsibilities & impact

Design and deliver components across the shared Security AI runtime, orchestration, evaluation, and applied-quality systems
Own substantial features from requirements and design through implementation, testing, integration, deployment, and continuous improvement
Contribute to architecture and technical direction using prototypes, evaluations, telemetry, and production evidence
Build reusable capabilities for agent execution, governed tool use, context and memory, shared APIs, telemetry, evaluation, trace analysis, and experimentation
Develop agents and supporting systems for grounded reasoning, planning, delegation, human oversight, traceability, and safe failure handling
Improve AI behavior using golden datasets, offline and online evaluations, production traces, trajectory analysis, regression gates, and model, prompt, or tool experiments
Design systems for cloud, on-premises, sovereign-cloud, and air-gapped environments
Implement identity propagation, authorization, tenant isolation, policy enforcement, privacy, auditability, and permission-aware actions
Integrate and promote adoption of shared Cisco and Splunk technologies
Use contracts, adapters, and configuration to support product and deployment differences
Apply AI tools throughout the software development lifecycle with human validation and appropriate security, privacy, and intellectual-property controls
Balance AI quality, latency, performance, cost, reliability, security, operability, and delivery
Diagnose failures across models, prompts, tools, data, orchestration, services, infrastructure, and product integrations
Write secure, maintainable code and contribute to architecture, testing, reviews, and technical documentation
Collaborate with product, domain, deployment, quality, release, and support teams
Mentor engineers and improve engineering practices and knowledge sharing

Requirements

What you’ll need

5+ years of experience developing, testing, and/or operating production software
Experience in production software engineering with Python and/or Golang
Bachelor’s degree plus 8 years of related experience, or Master’s degree plus 6 years of related experience, or PhD plus 3 years of related experience
Experience developing and operating production AI, agentic, or distributed systems
Experience with agent runtime, orchestration, shared APIs, context and memory, evaluation frameworks, experimentation systems, or production tracing
Ability to design, implement, debug, and maintain complex production-grade systems
Experience with LLM and agentic-system concepts, including grounding, retrieval, planning, delegation, tool use, human oversight, behavioral evaluation, and regression analysis
Experience delivering containerized or cloud-native software across public cloud, on-premises, sovereign cloud, or air-gapped environments
Familiarity with SOC, SIEM, detections, incidents, investigations, response, identity, authorization, policy, privacy, tenancy, and auditability
Experience evaluating, integrating, or adopting shared technologies across large organizations
Responsible use of AI-assisted engineering with attention to validation, code quality, security, privacy, intellectual property, and human accountability
U.S. remote work authorization/location requirement

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, subject to continued employment and vesting periods
10 paid holidays per full calendar year
1 floating holiday for non-exempt employees
Paid birthday day 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 off provided on hire date and each January 1st
Carryover of up to 80 unused sick-time hours
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 for professional growth and development