Senior Staff Software Engineer | Security Data Platform | Expert in Python

ServiceNow is an AI control tower for business reinvention, bringing together AI, data, and workflows to help organizations work smarter, faster, and better. The Senior Staff Software Engineer will own major areas of a security data platform, designing core APIs, building production services and asynchronous pipelines, integrating security data sources, and driving adoption across partner teams.

Responsibilities:

• Design and build the platform's core APIs, covering context retrieval, risk scoring, entity resolution, data contracts, and coverage queries
• Build and run asynchronous data pipelines on a message bus with a governed schema registry
• Integrate security data sources including SIEM, identity governance, asset inventory, and our knowledge graph
• Own platform workstreams from scoping through delivery, including the cross-team coordination that takes
• Write design proposals and review other people's, as part of the platform's RFC process
• Review code, mentor engineers on partner teams who contribute to the platform, and keep the technical documentation usable

Requirements:

• US citizens, US naturalized citizens or US Permanent Residents, holding a green card
• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry
• 12+ years of professional software engineering experience, including systems you have operated in production and not just shipped. OR SIMILAR EXPERIENCE WITH EDUCATION
• Expert-level Python: data processing at scale, API development, and real testing discipline in a production codebase
• Deep hands-on Splunk experience. SPL, data onboarding and normalization, search performance tuning, and working with the Splunk APIs
• Software architecture ownership on distributed or data-intensive systems. You have defined service and API boundaries, documented the tradeoffs, and revised a design when the requirements moved
• A real cybersecurity background: security operations, detection engineering, threat detection, incident response, or security data engineering. You should know how security telemetry gets produced and consumed, and be comfortable with frameworks like MITRE ATT&CK
• Project ownership at a senior IC level. You have taken an initiative from a vague problem statement to a delivered result, worked across team boundaries to do it, and kept engineering leadership informed without needing to be managed through it
• Data science experience: statistical analysis, feature engineering, anomaly detection, or building and evaluating models against noisy operational data
• Applied AI or ML experience, particularly LLM-based systems, retrieval-augmented generation, knowledge graphs, or agentic workflows, along with some interest in the security side of enterprise AI adoption
• Experience with identity governance or asset inventory platforms
• Experience defining data contracts or governance models for internal platform consumers