Senior Staff Software Engineer - AI/Security Platform

The application window is expected to close on: 09/17/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . 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.

Design and build   systems  that combine security-relevant data, detection signals, context, and foundation models to spot an d   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.

Bachelor's Degree with 12+ years of related experience or   Master's   with 8+ years of related experience.   Security:   Security Operations Experience  –   Understanding of   security operations concepts, including attack surface management, threat analytics, detection, triage, investigation, and response.   Security Telemetry Fluency  – Comfortable working with common 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.   Engineering Experience:   Data Platform/Fabric   Familiarity  – Experience implementing data platforms and/or data lakes and warehouses.   Security Data Engineering  – Experience building and   maintaining   pipelines for ingesting, parsing, and normalizing large-scale security telemetry.   Distributed Systems design and implementation   expertise   – with an emphasis on storage systems and storage access layers   Senior-Level Python Development  – Consistent record building scalable backend services, APIs, and automation workflows in Python.   DevOps/SecOps Practices  – 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.

Enterprise -grade Security Product Experience  – Familiarity with TDIR/SIEM