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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer - AI/Security Platform - **Company:** Cisco Systems, Inc. - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $186,900.0 - $267,700.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, JIRA, Encodings, Cyber Security, Computer Networks, Databases, Information Engineering, Data Infrastructure, Decision Support Systems, DevOps, Distributed Systems, Github, Python (Programming Language), Parsing, Security Information and Event Management, Systems Integration, Retrieval-Augmented Generation, Delivery Pipeline, Backend, Gitlab, Build Management, Data Lakes, Cybercrime, Data Management, 3-tier Architectures, Splunk, Software Version Control, Cisco - **Published:** September 2, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18190215?backUrl=%2Fcareer%2F18190215%2FStaff-Software-Engineer-Ai-Security-Platform-California-San-Francisco ## About the Role * 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 Qualifications: * 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. ## Description * 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. ## Related Videos - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [GitOps for the people](https://www.wearedevelopers.com/videos/461-gitops-for-the-people) - [The New AI Security Stack: Observe, Detect, Protect](https://www.wearedevelopers.com/videos/100302-the-new-ai-security-stack-observe-detect-protect) - [Computer Vision from the Edge to the Cloud done easy](https://www.wearedevelopers.com/videos/263-computer-vision-from-the-edge-to-the-cloud-done-easy) - [AI Won't Fix Your Engineering Culture](https://www.wearedevelopers.com/videos/100266-ai-won-t-fix-your-engineering-culture) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 134 - Where pixels sing?](https://www.wearedevelopers.com/magazine/477-dev-digest-134-where-pixels-sing) - [Got AI ideas but no money? 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