ServiceNow
Staff Software Engineer
$176K–$308K
Santa Clara, CALIFORNIA, United States · Hybrid · Staff · Full-time · Posted Sep 22, 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 requires 5+ years with cloud-native and AI-native systems, 3+ years in specified LLM and AI integration areas, and 2+ years on the ServiceNow platform.
- Education
- Bachelor's degree; OR Master's degree; OR PhD; OR equivalent work experience.
About the job
Leads the design, development, and production operation of AI-native cloud systems and ServiceNow applications, while setting technical direction and mentoring engineers.
What you'll do
- Architect and deliver AI systems, including LLM integrations, agent workflows, retrieval pipelines, and evaluation and monitoring practices.
- Develop and support ServiceNow applications, integrations, workflows, and production services; troubleshoot customer and system issues.
- Set technical direction, mentor engineers, and collaborate with product, engineering, and customer-facing teams.
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; 3+ years integrating third-party AI/ML services and platform APIs; 2+ years developing on the ServiceNow platform.
- Strong proficiency in JavaScript/GlideScript, Python, and Java, with knowledge of ServiceNow scripting, data models, workflows, and APIs.
- Experience with cloud platforms and managed AI services, Kubernetes, CI/CD, automated testing, AI evaluation, and scalable data pipelines, embedding systems, and vector stores.
Nice to have
- Customer-facing experience.
- Experience with Agile and Scrum development methodologies.
Pay
$176,100 - $308,200 USD base salary
Tools
Python, Java, JavaScript, GlideScript, AWS, GCP, Azure, Kubernetes
AI focus
Designs and operates AI-native systems, including LLM integrations, agentic workflows, RAG and retrieval systems, evaluation frameworks, and responsible AI safeguards; integrates third-party AI/ML services.
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