ServiceNow
Staff Software Engineer - Federal
$176K–$308K
Santa Clara, CALIFORNIA, United States · Hybrid · Staff · Full-time · Posted Sep 25, 2026
- Experience
- 8+ years with a Bachelor's degree; OR 6+ years with a Master's degree; OR 3+ years with a PhD; OR equivalent work experience. Also asks for 5+ years with modern cloud-native and AI-native systems, 3+ years in specified LLM and AI service integration areas, and 2+ years on the ServiceNow platform.
- Education
- Bachelor's degree; OR Master's degree; OR PhD; OR equivalent work experience.
- Visa sponsorship
- Only US citizens, US naturalized citizens or US Permanent Residents, holding a green card, will be considered.
About the job
Leads the design, development, and production delivery of AI-native and cloud-native systems and ServiceNow applications for US regulated markets.
What you'll do
- Architect and deliver production AI systems, including LLM integrations, agent workflows, retrieval pipelines, and evaluation and monitoring frameworks.
- Develop and integrate ServiceNow applications, workflows, APIs, and third-party AI/ML services; support production issues and customer escalations.
- Set technical direction, mentor engineers, and collaborate across teams on architecture, requirements, and technical decisions.
What they ask for
- 8+ years of software development experience with a Bachelor's degree; OR 6+ years with a Master's degree; OR 3+ years with a PhD; OR equivalent work experience.
- 5+ years working with modern cloud-native and AI-native systems; 3+ years with LLM prompt engineering, agent design, and retrieval systems; and 3+ years integrating third-party AI/ML services and platform APIs.
- 2+ years developing applications and extensions on the ServiceNow platform; proficiency in JavaScript/GlideScript, Python, and Java.
- Experience with cloud platforms and managed AI services, infrastructure-as-code, Kubernetes, CI/CD, automated testing, and AI evaluation.
Nice to have
- Customer-facing experience.
Pay
$176,100 - $308,200 USD base salary
Tools
Python, Java, JavaScript, GlideScript, REST APIs, AWS, GCP, Azure
AI focus
Hands-on design and development of AI-native systems: LLM integrations, agentic workflows, retrieval and vector systems, evaluation frameworks, production monitoring, and responsible AI safeguards.
Model-written summary · the original posting is authoritative