About this opportunity
ServiceNow lists this Senior Software Engineer opportunity in california, Missouri. Review the employer’s description below for duties, qualifications and application requirements.
Job description
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.
Join us to put AI to work for people.
Job Description
We are seeking a Senior Software Engineer . This is a mid-level engineer position who independently designs, builds, tests, and maintains cloud-native and AI-native software components with limited supervision. The IC3 engineer takes ownership of medium-complexity features or components, works across the full development lifecycle from design through production support, and begins to mentor junior engineers. They combine solid software engineering fundamentals with growing expertise in AI/ML integration, ServiceNow platform development, and production systems. This role requires the ability to balance technical depth with broader team needs, communicate clearly with teammates and customers, and take initiative in improving code quality and product reliability.
What you get to do in this role:
Responsibility Area: Software Development & Feature Ownership
Design, develop, test, and maintain AI-native software features and backend services with limited supervision
Take full ownership of medium-complexity features from design through deployment and production support
Contribute to technical specifications, implementation plans, prompt design, agent logic, and retrieval workflows
Build comprehensive unit tests, integration tests, and basic evaluation checks for AI features
Troubleshoot software defects, integration issues, and AI behavior problems in development and production environments
Follow secure coding practices, including responsible handling of prompts, customer data, privacy, and AI safety guardrails
Work with cloud services, APIs, containers, and CI/CD pipelines to support reliable delivery of software
Proactively identify and fix technical debt in code you maintain; suggest improvements to teammates
Responsibility Area: Communication & Collaboration
Communicate clearly with team members, stakeholders, and cross-functional partners on technical topics
Provide regular updates on assigned work, risks, blockers, and delivery progress
Explain technical choices, implementation trade-offs, and AI limitations to technical and non-technical audiences
Participate actively in design discussions, code reviews, sprint planning, and retrospectives
Share knowledge with junior engineers through pair programming, code reviews, and informal mentoring
Work collaboratively with product, design, and other engineering teams; seek alignment on requirements
Communicate proactively about challenges and elevate issues appropriately
Responsibility Area: Technical Ownership & Quality
Own medium-complexity features or components from design through delivery and production support
Review code from peers and provide practical feedback on maintainability, correctness, and test coverage
Support root cause analysis for customer-reported issues, including defects involving retrieval quality or model output behavior
Mentor junior engineers informally by sharing implementation guidance, debugging approaches, and good engineering practices
Participate in on-call support for assigned components; respond to production issues and customer escalations
Drive improvements to development tools, testing infrastructure, and deployment processes in your areas
Learn from production incidents and help establish practices to prevent recurrence
Responsibility Area: Customer Support & Success
Engage with customers to understand and resolve complex technical issues
Participate in customer issue triage, investigation, and root cause analysis
Provide technical guidance to customers on application usage, configuration, and troubleshooting
Contribute to customer documentation, knowledge bases, and internal runbooks
Support critical customer escalations; own investigation and resolution of assigned issues
Gather customer feedback and communicate product improvement opportunities to product management
Help identify patterns in customer issues that could prevent future problems
Qualifications
To be successful in this role you have:
5+ years of software development experience with a Bachelor's degree; OR 3+ years witha Master's degree; OR a PhD without experience; OR equivalent work experience.
1+ years of hands-on experience with LLM prompt engineering, AI/ML API integration, or similar AI-native development
1+ years of hands-on experience developing applications or customizations on the ServiceNow platform
Experience with cloud platforms (AWS/GCP/Azure) and basic familiarity with managed AI services
Solid understanding of relational and NoSQL databases; familiarity with vector databases is a plus
Experience with RESTful APIs, microservices architecture, and modern backend frameworks
Understanding of software testing practices; ability to write effective unit and integration tests
Familiarity with CI/CD pipelines and automated testing frameworks
Experience with version control systems and collaborative development workflows
Strong problem-solving skills and ability to debug complex issues
Good communication skills; ability to explain technical concepts to both technical and non-technical audiences
Experience with Agile and Scrum development methodologies
Demonstrated ability to take ownership of features and deliver them successfully
Experience working with customers or in support-facing roles is a plus
Familiarity with LLM orchestration frameworks (LangChain, LlamaIndex) or vector databases is a plus
Understanding of AI/ML evaluation practices and responsible AI principles
For positions in this location, we offer a base pay of$143,200 - $243,400 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
Additional Information
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
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Worksite address
california, MO, 65018, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.