The application window is expected to close on: 09/24/2026 Meet the Team
We are an agile team with a startup feel and a strong bias for action. We move fast, embrace failure as part of the process, and stay focused on solving real-world problems for defenders on the front lines. Our team blends deep expertise in AI, cybersecurity, platform and systems engineering. We are driven by a shared belief that the only way to outpace hackers is through AI advancements that free up humans to tackle real threats and more challenging problems.
This is a place for builders who thrive in ambiguity, challenge the status quo, and care deeply about making a meaningful impact. If you’re energized by tough problems, excited to shape the future of cyber defense, and eager to work alongside passionate experts, you’ll feel right at home.
Your Impact
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 AIDevOps 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.
Minimum Qualifications
Bachelor's Degree with 7+ years of related experience or Master's with 4+ years of related experience.
Experience with storage systems and storage access layers
Experience working with data platforms and/or data lakes and warehouses or streaming platforms.
Experience building scalable backend services, APIs, and automation workflows in Python or Go.
Experience designing agent systems that will perform coding tasks for you.
Preferred Qualifications
Security Data Engineering – Experience building and maintaining pipelines for ingesting, parsing, and normalizing large-scale security telemetry.
Security Operations Experience – Understanding of security operations concepts, including attack surface management, threat analytics, detection, triage, investigation, and response. Alternatively, f ormer Tier 3 SOC analyst or equivalent, with experience automating SecOps workflows and building scalable, resilient detection infrastructure.
RAG/GraphRAG Search Implementation – Hands-on experience developing retrieval-augmented generation pipelines and working with vector databases (e.g., FAISS, Pinecone, Weaviate).
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
Pourquoi Cisco?
Chez Cisco, nous révolutionnons la façon dont les données et les infrastructures se connectent et protègent les entreprises à l’ère de l’intelligence artificielle et au-delà. Nous innovons sans crainte de manquer quelque chose depuis 40 ans pour créer des solutions qui optimisent la collaboration entre les…