Senior Software Engineer - UI

📍 Job Overview

Job Title: Senior Software Engineer - UI
Company: ServiceNow
Location: Orlando, Florida, United States
Job Type: Full-time
Category: Software Engineering / UI Development
Date Posted: October 27, 2025
Experience Level: 5-10 years
Remote Status: Remote OK (within the United States)

🚀 Role Summary

• This Senior Software Engineer role focuses on building next-generation customer-facing cloud Observability tools, emphasizing AI-powered user experiences for self-service monitoring.
• The position requires a strong blend of UI development (90%) and backend development (10%), requiring expertise in modern front-end frameworks and scalable component design.
• Successful candidates will collaborate cross-functionally to design, architect, and implement robust Observability platforms, driving features from conception through delivery.
• A key aspect of this role involves leveraging AI-assisted tools and integrating AI/ML capabilities into the software development lifecycle and user experience.

📝 Enhancement Note: The job description explicitly states a US Federal background screening (USFedPASS) and requires US citizenship or permanent residency, indicating a strong emphasis on security and compliance, likely due to the nature of ServiceNow's government or sensitive client work. The high percentage dedicated to UI development suggests a need for deep expertise in front-end architecture and user-centric design within a cloud services context.

📈 Primary Responsibilities

• Design, develop, and maintain scalable, maintainable, and reusable software components with a primary focus on UI development, ensuring high performance and reliability.
• Translate product requirements into well-architected, intuitive, and extensible user experiences using modern UI frameworks, with flexibility for customer-specific needs.
• Collaborate closely with product managers and cross-functional teams on the design, architecture, and implementation of the AI-powered Observability platform.
• Integrate AI/ML capabilities into the user experience, including automation, personalization, and predictive insights, and leverage AI-assisted design and development tools.
• Own the end-to-end software development lifecycle (SDLC), from rapid prototyping to design, implementation, testing, and deployment, utilizing AI-powered code generation and CI/CD tools.
• Develop comprehensive test strategies, including functional, regression, integration, and performance testing, and integrate automated testing into development workflows.
• Participate actively in design and code reviews, ensuring adherence to best practices in performance, maintainability, testability, and AI integration.
• Foster a culture of continuous learning, knowledge sharing, and engineering craftsmanship, mentoring peers and junior engineers on AI/ML and software engineering best practices.
• Troubleshoot complex systems, debug issues, and optimize performance across the stack, with a specific focus on query languages like SQL and Prometheus Query Language.

📝 Enhancement Note: The responsibilities highlight a dual focus on core UI engineering and the strategic integration of AI. The emphasis on "AI-assisted design and development tools" and "AI-native Observability products" indicates that candidates will be expected to not only use but also contribute to the evolution of AI within the development process and product offerings.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. A Master's degree or PhD may reduce the experience requirement.

Experience:

• 5+ years of professional software engineering experience, with a proven track record of delivering high-quality products.
• 1+ years of experience integrating AI tools like Copilot/Windsurf (or equivalent).
• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving.

Required Skills:

• Deep knowledge of UI technologies: JavaScript, AJAX, JSON, HTML, XML, CSS, REST, and associated modern front-end frameworks (e.g., Angular, React, Vue).
• Strong proficiency in Java and related frameworks.
• Strong skills in query languages: SQL, Prometheus Query Language.
• Experience with CI/CD pipelines, containerization (e.g., Kubernetes, Docker), and cloud-native deployments, ideally utilizing AI-assisted tools.
• Familiarity with automated testing frameworks (e.g., JUnit, Selenium, TestNG) and integrating tests into CI/CD pipelines.
• Understanding of UX principles (human-centered design, trust, transparency, error recovery) and their application to AI agents.
• Experience in designing and delivering AI-powered user experiences, including LLM integration, prompt engineering, and retrieval-augmented generation (RAG).
• Excellent troubleshooting, debugging, and performance optimization skills in distributed and enterprise environments.
• Strong collaboration and stakeholder communication skills.

Preferred Skills:

• Hands-on expertise with AI orchestration frameworks and building workflows for agentic or multi-agent systems.
• Development experience on the ServiceNow Platform.
• Proficiency in Python or similar object-oriented languages.
• Experience with AI-powered tools or workflows, including validation of datasets, model predictions, and inference consistency.
• Domain expertise in Observability, root cause analysis with LLMs.

📝 Enhancement Note: The explicit requirement for 1+ years of experience with tools like Copilot and the emphasis on LLM integration, prompt engineering, and RAG suggest that ServiceNow is actively incorporating generative AI into its development practices. The "preferred" skills around AI orchestration frameworks further indicate a forward-looking approach to AI adoption.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate successful UI development projects that exhibit strong user experience design, responsiveness, and accessibility standards.
• Showcase examples of integrating new features or enhancing existing ones within complex software systems, highlighting problem-solving and innovation.
• Provide evidence of contributions to scalable, maintainable, and reusable codebases, emphasizing architectural design patterns.
• Include projects where AI has been leveraged to improve development efficiency, product features, or user interaction, clearly articulating the impact.

Process Documentation:

• Present case studies detailing the end-to-end SDLC for key projects, from initial requirements gathering and design to implementation, testing, and deployment.
• Document your approach to CI/CD pipelines, containerization (Kubernetes, Docker), and cloud-native deployments, explaining your role in their setup or utilization.
• Illustrate your testing strategies, including the implementation of automated tests, and how they contributed to software quality and reliability.
• Detail your experience with AI integration, explaining the process of evaluating AI tools, integrating them into workflows, and measuring their impact on development or product outcomes.

📝 Enhancement Note: Given the emphasis on AI and modern development practices, a portfolio should strongly feature projects where AI tools were used to accelerate development, enhance UI, or solve complex problems. Demonstrating an understanding of the full SDLC, especially with AI assistance, will be crucial.

💵 Compensation & Benefits

Salary Range:

• Based on industry benchmarks for Senior Software Engineers in Orlando, Florida, with 5-10 years of experience, and considering ServiceNow's standing as a leading tech company, a competitive salary range is estimated to be between $130,000 - $180,000 annually. This range can vary based on specific experience, skills, and interview performance.

Benefits:

• Comprehensive health, dental, and vision insurance.
• 401(k) retirement plan with company match.
• Stock options and potential for performance-based bonuses.
• Generous paid time off (PTO), including vacation, sick leave, and holidays.
• Professional development opportunities, including training, certifications, and conference attendance.
• Parental leave and family-friendly benefits.
• Employee Assistance Program (EAP).
• Potential for flexible work arrangements and remote work options.

Working Hours:

• Standard full-time work hours are typically 40 hours per week.
• Flexibility is often provided, allowing for adjustments to accommodate project needs and personal schedules, especially given the remote-friendly nature of the role.

📝 Enhancement Note: The salary range is an estimate based on general market data for a Senior Software Engineer in a major tech hub like Orlando, factoring in the specified experience level and the company's profile. ServiceNow is known for offering competitive compensation and a robust benefits package, which often includes stock options and significant professional development resources.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software / Cloud Computing / Platform as a Service (PaaS)
Company Size: Over 10,000 employees globally.
Founded: 2004.

Team Structure:

• The role is within the Global Cloud Services (GCS) organization, suggesting a distributed team environment focused on core platform infrastructure and services.
• The team likely comprises engineers specializing in various aspects of cloud services, Observability, AI/ML, and UI/UX development.
• Collaboration is expected across product management, engineering, and potentially customer success teams to ensure the platform meets evolving customer needs.

Methodology:

• Emphasizes an agile development methodology, with a focus on iterative development, continuous integration, and continuous delivery (CI/CD).
• Data-driven decision-making is a core tenet, with a strong reliance on metrics, performance monitoring, and user feedback to guide product evolution.
• A culture of engineering craftsmanship, quality, and innovation is promoted, with an increasing integration of AI and automation to enhance efficiency and reliability.

Company Website: https://www.servicenow.com/

📝 Enhancement Note: ServiceNow's status as a Fortune 500 company and a global market leader implies a structured, professional, yet innovative work environment. The emphasis on AI and "making the world work better" suggests a mission-driven culture focused on solving complex business problems through technology. The "new world of work" persona system indicates a flexible approach to work arrangements.

📈 Career & Growth Analysis

Operations Career Level: Senior Individual Contributor (IC)
Reporting Structure: This Senior Software Engineer will report to an Engineering Manager or Director within the Global Cloud Services organization. The role involves close collaboration with Product Managers and architects.
Operations Impact: This role directly impacts the reliability, performance, and user experience of ServiceNow's Observability platform, which is critical for customer success and operational efficiency. By building AI-powered UX and self-service monitoring tools, the engineer contributes to customer satisfaction, reduced support load, and enhanced platform stability for ServiceNow's enterprise clients.

Growth Opportunities:

• Technical Specialization: Deepen expertise in AI/ML integration, advanced UI frameworks, cloud-native architectures, and Observability technologies.
• Leadership Development: Transition into Tech Lead roles, mentoring junior engineers, driving technical design decisions, and leading feature development initiatives.
• Cross-Functional Mobility: Explore opportunities within other engineering teams at ServiceNow, contributing to different product areas or platform components.
• Architectural Roles: Advance towards Software Architect or Principal Engineer roles, focusing on high-level system design, strategic technology adoption, and setting technical direction.
• AI/ML Focus: Specialize further in AI-driven development, prompt engineering, and building intelligent systems, aligning with the company's strategic focus on AI.

📝 Enhancement Note: The Senior Software Engineer title indicates a level of autonomy and responsibility for technical design and execution. Growth paths likely involve increasing technical complexity, leadership, or architectural influence, with a strong emphasis on AI as a core strategic area for future development.

🌐 Work Environment

Office Type: Hybrid and Remote-friendly work environment, with designated office locations for those who prefer or are required to work on-site. ServiceNow categorizes employees into work personas (flexible, remote, or required in office) based on their role and location.
Office Location(s): The primary listed location is Orlando, Florida. However, the role is designated as "Remote OK" within the United States, suggesting that while an office is available, remote work is a viable option for eligible candidates.

Workspace Context:

• The environment is designed to foster collaboration, innovation, and efficiency, whether in-office or remote.
• Access to modern development tools, cloud infrastructure, and AI-assisted technologies is provided to support engineers.
• Opportunities for interaction with diverse teams across different geographies are common, promoting a global and inclusive work culture.

Work Schedule:

• Standard business hours (e.g., 9 AM to 5 PM in the relevant time zone) are typical, with flexibility to manage work around core collaboration times and project deadlines.
• The remote-friendly nature of the role allows for greater autonomy in managing one's schedule, provided project deliverables and team syncs are met.

📝 Enhancement Note: The "Work Personas" system is a key differentiator, indicating a structured approach to accommodating different work styles and locations. Candidates should be prepared to understand how their role fits into this framework.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or recruiter call to assess basic qualifications, cultural fit, and understanding of the role's AI and UI focus.
• Technical Assessments: May include coding challenges (live or take-home) focusing on JavaScript, Java, data structures, algorithms, and UI development principles. Expect problems related to AI integration or Observability.
• On-site/Virtual Interviews: Multiple rounds with engineering managers, senior engineers, and potentially architects. These will delve into technical depth, problem-solving abilities, system design, and experience with AI/ML and cloud technologies.
• System Design & AI Integration Discussion: A significant portion will likely focus on designing scalable UI architectures, implementing Observability features, and integrating AI components. Be prepared to discuss trade-offs and justify design choices.
• Behavioral & Cultural Fit: Questions assessing collaboration, communication, problem-solving approaches, and alignment with ServiceNow's values and culture, particularly regarding AI's role.

Portfolio Review Tips:

• Curate Select Projects: Showcase 2-3 strong projects that best represent your UI development, AI integration, and problem-solving skills. Prioritize projects relevant to Observability or cloud services if possible.
• Highlight AI Impact: Clearly articulate how AI tools or principles were used, what challenges they solved, and the measurable impact (e.g., reduced development time, improved user experience, enhanced insights).
• Demonstrate SDLC Ownership: Explain your role and contributions across the entire software development lifecycle for each project, from conception to deployment and iteration.
• Quantify Achievements: Use metrics where possible to demonstrate the success of your work (e.g., performance improvements, adoption rates, efficiency gains).
• Prepare for Technical Deep Dives: Be ready to discuss the technical details, architectural decisions, and challenges encountered in your portfolio projects.

Challenge Preparation:

• Coding Challenges: Practice LeetCode-style problems focusing on JavaScript and Java, with an emphasis on algorithms, data structures, and object-oriented design.
• UI Design & Implementation: Be ready to whiteboard or discuss the design and implementation of a user interface for a specific feature, considering responsiveness, accessibility, and performance.
• System Design: Prepare for system design questions related to building scalable web applications, microservices, CI/CD pipelines, and integrating AI services. Concepts like microservices, APIs, databases, and caching will be relevant.
• AI Integration Scenarios: Think through how you would approach integrating AI features into an existing system or designing a new AI-native feature, considering data requirements, model selection, and user interaction.

📝 Enhancement Note: The interview process will heavily scrutinize your ability to not only code but also to design and implement complex systems, with a particular focus on AI integration and its practical application within the Observability domain. A well-prepared portfolio that visibly showcases AI-driven projects will be a significant advantage.

🛠 Tools & Technology Stack

Primary Tools:

• UI Frameworks: Angular, React, Vue.js
• Core Languages: JavaScript, Java, Python
• Web Technologies: HTML, CSS, AJAX, JSON, XML, REST
• Databases: SQL, NoSQL (likely)
• Query Languages: SQL, Prometheus Query Language (PromQL)

Analytics & Reporting:

• Observability Platforms: Tools for monitoring, logging, and tracing (e.g., Datadog, Splunk, Prometheus, Grafana).
• Data Visualization: Tools for creating dashboards and reports (e.g., Grafana, Highcharts).

CRM & Automation:

• CI/CD Tools: Jenkins, GitLab CI, GitHub Actions, or similar.
• Containerization: Kubernetes, Docker.
• Cloud Platforms: AWS, Azure, or GCP (ServiceNow likely uses a multi-cloud or hybrid approach).
• AI/ML Tools: Copilot, Windsurf (or equivalent AI coding assistants), LLMs, potentially AI orchestration frameworks.
• Development Tools: IDEs (e.g., VS Code, IntelliJ), debuggers, profilers, source control (Git).

📝 Enhancement Note: The tech stack is a blend of traditional web development essentials and cutting-edge AI tools. Proficiency in core front-end and back-end languages, coupled with experience in modern DevOps practices and a clear understanding of how to leverage AI in software development, is critical.

👥 Team Culture & Values

Operations Values:

• Service Excellence: A commitment to delivering high-quality, reliable services and products that empower customers to work better.
• Innovation: Encouraging new ideas and the adoption of cutting-edge technologies, particularly AI, to drive product and process improvements.
• Collaboration: Fostering a team-oriented environment where knowledge is shared, and cross-functional partnerships are valued.
• Customer Focus: Understanding and addressing customer needs to build solutions that provide tangible value and enhance their operational efficiency.
• Integrity & Trust: Upholding ethical standards and building trust through transparency in development, communication, and product delivery.

Collaboration Style:

• Cross-functional Integration: Engineers are expected to work closely with product managers, designers, and other engineering teams to ensure cohesive product development.
• Open Communication: Encouraging candid feedback, constructive critique during code reviews, and open dialogue about technical challenges and solutions.
• Mentorship & Knowledge Sharing: Promoting a culture where senior engineers actively mentor junior team members and best practices are shared across the team and organization.
• Data-Informed Decisions: Utilizing data from monitoring, testing, and user feedback to inform design choices and prioritize development efforts.

📝 Enhancement Note: ServiceNow's culture appears to be a blend of enterprise-level professionalism, a strong focus on customer success, and a forward-thinking embrace of AI and innovation. The emphasis on craftsmanship and quality suggests a team that values technical excellence.

⚡ Challenges & Growth Opportunities

Challenges:

• Integrating AI Effectively: Navigating the complexities of integrating AI/ML into user interfaces and backend systems, ensuring reliability, scalability, and ethical considerations are met.
• Balancing UI and Backend Needs: Effectively managing the 90% UI / 10% backend split, requiring strong skills in both areas and the ability to context-switch efficiently.
• Scalability and Performance: Designing and implementing Observability tools that can handle massive amounts of data and provide real-time insights for a large enterprise customer base.
• Security & Compliance: Adhering to stringent security protocols and passing federal background screenings, which is crucial for working with government or sensitive client data.
• Rapid Technological Evolution: Keeping pace with the fast-changing landscape of AI, cloud technologies, and UI frameworks.

Learning & Development Opportunities:

• AI/ML Specialization: Access to internal training, workshops, and resources to deepen expertise in generative AI, LLMs, prompt engineering, and AI-driven development.
• Advanced UI/UX Training: Opportunities to explore and master new front-end frameworks, design patterns, and user experience best practices.
• Cloud-Native Architecture: Gaining hands-on experience with Kubernetes, Docker, and cloud-native deployment strategies in a large-scale environment.
• Observability Expertise: Developing deep knowledge in monitoring, logging, tracing, and performance analysis tools and techniques.
• Professional Certifications: Support for obtaining relevant industry certifications in cloud technologies, AI, or software engineering.

📝 Enhancement Note: The challenges presented are directly tied to the role's focus on AI, complex systems, and security, offering significant opportunities for professional growth in highly in-demand areas.

💡 Interview Preparation

Strategy Questions:

• AI Integration Strategy: "How would you approach integrating generative AI into an existing Observability dashboard to provide proactive insights or troubleshooting guidance for our customers?" (Focus on data, LLM choice, prompt engineering, and user experience.)
• UI Architecture Design: "Design a scalable and responsive UI for a real-time monitoring dashboard that needs to display metrics from thousands of sources. What frameworks and patterns would you use, and why?" (Emphasize component reusability, performance, error handling.)
• Problem-Solving & Root Cause Analysis: "Describe a complex technical problem you faced in a previous role, particularly one involving distributed systems or UI performance. How did you diagnose it, and what was your resolution?" (Highlight your diagnostic process, tools used, and lessons learned.)

Company & Culture Questions:

• "How do you see AI changing the future of software development and user experience in enterprise platforms like ServiceNow?" (Demonstrate forward-thinking and alignment with the company's AI focus.)
• "ServiceNow has a strong emphasis on craftsmanship and quality. How do you ensure these values are reflected in your work, especially when working with AI-assisted tools?" (Showcase your commitment to quality, even with automation.)
• "Describe a time you had to collaborate with cross-functional teams (e.g., product managers, backend engineers) to deliver a feature. What were the challenges, and how did you overcome them?" (Assess your collaboration and communication skills.)

Portfolio Presentation Strategy:

• AI-First Narrative: For each project, clearly articulate the "AI story" – what problem did AI solve, how was it integrated, and what was the measurable outcome?
• Technical Depth & Trade-offs: Be prepared to deep-dive into the technical architecture, chosen technologies, and the trade-offs made during development.
• Demonstrate SDLC Mastery: Walk through the entire development lifecycle, highlighting your specific contributions and how you ensured quality and efficiency, especially with AI tools.
• Future Vision: For your best project, briefly discuss potential future enhancements or how it could be further improved with emerging AI capabilities.

📝 Enhancement Note: Interview preparation should focus on demonstrating a strong command of both UI development and AI integration, showcasing your ability to apply modern technologies to solve real-world problems within an enterprise cloud context. Be ready to discuss the practicalities and challenges of AI in development.

📌 Application Steps

To apply for this Senior Software Engineer - UI position:

• Submit your application directly through the ServiceNow careers portal via SmartRecruiters.
• Tailor your Resume: Highlight experience with JavaScript, Java, modern UI frameworks, CI/CD, cloud technologies, and any direct experience with AI/ML tools (Copilot, LLMs, etc.). Quantify achievements where possible.
• Prepare Your Portfolio: Select 2-3 projects that best showcase your UI development, AI integration, and problem-solving skills. Be ready to discuss the technical details, your specific contributions, and the impact of AI in these projects.
• Research ServiceNow: Understand their products, their commitment to AI, and their company culture. Familiarize yourself with their "Work Personas" system.
• Practice Interview Questions: Prepare for technical deep dives, system design scenarios, and behavioral questions that assess your problem-solving, collaboration, and AI-centric mindset.

⚠️ Important Notice: This enhanced job description provides comprehensive insights based on the provided data and industry best practices for operations roles. However, specific details regarding salary, benefits, and the precise nature of the background screening should be confirmed directly with ServiceNow during the application process. The emphasis on federal compliance is a critical factor for this role.