Senior Software Engineer
$143.2k - $243.4kServiceNow
Company DescriptionIt 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 DescriptionWe 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 teammatesResponsibility Area: ServiceNow Platform Development
- Design and develop features and customizations on the ServiceNow platform independently
- Architect ServiceNow workflows, business rules, and automations; implement client and server-side JavaScript/GlideScript
- Design data models, forms, dashboards, and reports for ServiceNow applications; optimize database queries
- Integrate third-party AI/ML services and custom APIs with ServiceNow; build REST integrations and webhooks
- Maintain and extend ServiceNow plugins and apps; follow platform best practices and architectural patterns
- Participate in ServiceNow platform upgrades and manage feature compatibility with platform updates
- Support customer implementations and provide guidance on ServiceNow platform capabilities and configurationResponsibility 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 escalate issues appropriatelyResponsibility 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 recurrenceResponsibility 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 problemsQualificationsTo be successful in this role you have:6+ years of software development experience with a Bachelor's degree; OR 3+ years with a 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 development1+ years of hands-on experience developing applications or customizations on the ServiceNow platformStrong proficiency in Python, Java, or JavaScript; growing proficiency across multiple languagesSolid understanding of JavaScript/GlideScript and ServiceNow platform APIs and data modelsExperience with cloud platforms (AWS/GCP/Azure) and basic familiarity with managed AI servicesSolid understanding of relational and NoSQL databases; familiarity with vector databases is a plusExperience with RESTful APIs, microservices architecture, and modern backend frameworksUnderstanding of software testing practices; ability to write effective unit and integration testsFamiliarity with CI/CD pipelines and automated testing frameworksExperience with version control systems and collaborative development workflowsStrong problem-solving skills and ability to debug complex issuesGood communication skills; ability to explain technical concepts to both technical and non-technical audiencesExperience with Agile and Scrum development methodologiesDemonstrated ability to take ownership of features and deliver them successfullyExperience working with customers or in support-facing roles is a plusFamiliarity with LLM orchestration frameworks (LangChain, LlamaIndex) or vector databases is a plusUnderstanding of AI/ML evaluation practices and responsible AI principles
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