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About the Role

Design and build systems that combine security-relevant data, detection signals, context, and foundation models to spot and predict threats. Prototype and test new AI features, developing an AI DevOps pipeline and architecting a distributed platform to correlate and synthesize trillions of events into explainable findings and alerts. Collaborate with product and platform teams to co-design AI-enhanced threat detection and prediction workflows, contributing to the core architecture powering AI-native security operations.

Responsibilities

Design and build systems that combine security-relevant data, detection signals, context, and foundation models to spot and predict threats, those in action and those that are about to happen.
Prototype and test new AI features - from decoding events and system environments to predicting anomalies and threats - working closely with security SMEs and security researchers to validate real-world utility.
Develop an AI DevOps pipeline to enable rapid experimentation with data. Knowledge bases, models, and context memory, using clear, measurable success criteria to evaluate iterations.
Architect and build the distributed platform that can correlate trillions of events & signals, and can synthesize them into explainable findings and alerts, consumed by our triage resolution agents – you will be building a key capability of the Agentic SOC.
Collaborate with product and platform teams to co-design AI-enhanced threat detection and prediction workflows that are intuitive, scalable, and immediately useful to analysts.
Contribute to the core architecture powering AI-native security operations, helping to shape how Splunk and Cisco scale trusted automation across the enterprise.

Requirements

Bachelor's Degree with 8+ years of related experience or Master's with 6+ years of related experience.
Distributed Systems design and implementation - Experience with an emphasis on storage systems and storage access layers
Data Platform/Fabric - Experience implementing data platforms and/or data lakes and warehouses.
Proficient Python Development - Experience building scalable backend services, APIs, and automation workflows in Python.
DevOps/SecOps Practices - Experience, proficient with CI/CD pipelines, version control (GitHub/GitLab), Jira, and automated testing frameworks.
Agentic development – Experience designing agent systems that will perform coding tasks for you.
Cross-Functional Collaboration – Experience partnering with product managers, security SMEs, and engineers to iterate quickly and deliver impactful solutions.
Security Telemetry Fluency – Experience working with common telemetry data sources such as endpoint logs, network traffic, authentication events, or cloud audit trails and understanding how they’re used in detection and investigation workflows.
Security Data Engineering – Experience building and maintaining pipelines for ingesting, parsing, and normalizing large-scale security telemetry.
Enterprise-grade Security Product Experience – Familiarity with TDIR/SIEM architectures, correlation searches, threat hunting support systems. Bonus if you’ve worked with Splunk’s APIs, internals, or have experience developing on the Splunk platform.
Security Operations Experience – Understanding of security operations concepts, including attack surface management, threat analytics, detection, triage, investigation, and response. Alternatively, former Tier 3 SOC analyst or equivalent, with experience automating SecOps workflows and building scalable, resilient detection infrastructure.
Data Encoding & Embeddings – Exposure to event storage systems or generating custom embeddings for domain-specific tasks in cybersecurity.
RAG and GraphRAG Search Implementation – Hands-on experience developing retrieval-augmented generation pipelines and working with databases (e.g., FAISS, Pinecone).
Model Integration – Skilled in crafting, testing, and optimizing training workloads for large language or special-purpose models such as GNNs, GCNs, GATs. Ideally, you have contributed to or shipped an AI-powered feature or product and understand the nuances of integrating models into real-world workflows - including usability, performance, and trust considerations.
AI Evaluation & Experimentation – Capable of designing experiments to evaluate model output for accuracy, usability, performance, and cost
UX and Human Factors for Analysts – Background or interest in designing intuitive, AI-assisted analyst workflows with a focus on usability, trust, and decision support.

Skills

Python
CI/CD
GitHub
GitLab
Jira
Automated testing
Security telemetry
Splunk APIs
RAG
GraphRAG
FAISS
Pinecone
GNNs
GCNs
GATs

Location

U.S.
Canada
New York City Metro Area
Non-Metro New York state
Washington state

Work Type

Full-time

Experience Level

8+ years of related experience (with Bachelor's Degree)
6+ years of related experience (with Master's Degree)

Education Level

Bachelor's Degree
Master's Degree

Salary/Compensations

$186,900.00 - $267,700.00 (U.S. and/or Canada)
$186,900.00 - $307,800.00 (New York City Metro Area)
$166,300.00 - $274,100.00 (Non-Metro New York state & Washington state)

Benefits

Medical insurance
Dental insurance
Vision insurance
401(k) plan with Cisco matching contribution
Paid parental leave
Short-term disability coverage
Long-term disability coverage
Basic life insurance
10 paid holidays per full calendar year
1 floating holiday for non-exempt employees
1 paid day off for employee’s birthday
Paid year-end holiday shutdown
4 paid days off for personal wellness
16 days of paid vacation time per full calendar year (non-exempt employees)
Flexible vacation time off program (exempt employees)
80 hours of sick time off provided on hire date and each January 1st thereafter
Up to 80 hours of unused sick time carried forward
Additional paid time away for critical or emergency family issues
Optional 10 paid days per full calendar year to volunteer
Annual bonuses (non-sales roles)
Performance-based incentive pay (sales roles)
Cisco restricted stock units

About the Company

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.