# Senior Staff Software Engineer | Security Data Platform | Expert in Python at ServiceNow

- Company: ServiceNow
- What the company does: It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. Backed by Greylock and Sequoia.
- Company website: https://www.servicenow.com/
- Type: Startups
- Level: Senior
- Location: Santa Clara, California
- Work setup: Remote
- Pay: $191K to $334K base salary per year (USD)
- Posted: 2026-09-08
- Apply by: 2026-10-23
- Apply: https://jobs.smartrecruiters.com/ServiceNow/744000148349979
- Page: https://www.1752.vc/careers/jobs/servicenow-senior-staff-software-engineer-security-data-platform-expert-in-pytho/

## About the role

Our security teams pull data from a lot of separate systems. Asset inventory, identity governance, detection tooling, and threat intel all live in different places, so answering a basic question like which systems an attacker could reach from a compromised account can take a security analyst most of a day. We're building a platform that connects those systems behind a shared API and knowledge layer so those questions can be answered in seconds. We are not replacing the source systems or copying their data.

## What they're looking for

- 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
- 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

Tags: Digital Technology