Senior Software Engineer - UI

📍 Job Overview

Job Title: Senior Software Engineer - UI
Company: ServiceNow
Location: Orlando, Florida, United States (with potential for Remote in Boise, Idaho)
Job Type: Full-time
Category: Software Engineering - UI/Frontend Development
Date Posted: February 18, 2026
Experience Level: 5-10 years
Remote Status: Flexible or Remote (primary working hours aligned to Pacific Standard Time - PST)

🚀 Role Summary

• This role is focused on the design and development of next-generation customer-facing cloud Observability tools, with a significant emphasis on UI development (90%).
• You will be instrumental in building AI-powered User Experiences (UX) that enable self-service monitoring for ServiceNow's extensive customer base.
• The position requires a strong understanding of modern UI frameworks, AI integration, and the full Software Development Lifecycle (SDLC) with a data-driven approach.
• Collaboration with product managers and cross-functional teams is key to translating requirements into well-architected, scalable, and reliable software components.

📝 Enhancement Note: While the primary location is Orlando, FL, the job posting explicitly mentions "Remote, Boise, Idaho, United States" as an alternate and states "Work Persona: Flexible or Remote." This indicates a significant degree of flexibility for candidates, though primary working hours must align with PST, and candidates must be willing to collaborate across time zones. This role is not a typical Revenue Operations or Sales Operations role but requires strong technical skills often found in operations support functions that build internal tools or customer-facing analytics platforms. The emphasis on AI and Observability suggests a need for engineers who can translate complex data into actionable insights via intuitive interfaces.

📈 Primary Responsibilities

• Design, develop, and implement scalable, maintainable, and reusable software components with a primary focus on UI development (90% of the role).
• Collaborate with product managers and cross-functional teams to translate business requirements into well-architected, AI-powered Observability solutions.
• Build intuitive, extensible, and AI-native user experiences using modern UI frameworks, ensuring flexibility for customer-specific needs and self-service monitoring capabilities.
• Contribute to the design and implementation of new products and features, while also enhancing existing product capabilities within the Global Cloud Services organization.
• Integrate automated testing into development workflows, participate in design and code reviews, and develop comprehensive test strategies to ensure consistent quality, performance, and reliability.
• Write clean, modular, and AI-assisted code by applying best practices in software architecture and engineering, leveraging AI-powered design and development tools to accelerate implementation and enforce consistency.
• Own the end-to-end Software Development Lifecycle (SDLC), from rapid prototyping to design, implementation, testing, and deployment, using AI-powered code generation, testing, and CI/CD tools.
• Act as a mentor to peers and junior engineers by sharing AI/ML and software engineering knowledge, fostering a culture of continuous learning, craftsmanship, and knowledge-sharing.
• Develop and implement AI-native Observability products and features, embedding intelligent capabilities like automation, personalization, and predictive insights into the core user experience.

📝 Enhancement Note: The responsibilities clearly delineate between UI and backend focus, with UI development being the dominant aspect. The integration of AI and Observability tools is a critical theme, requiring engineers to not only build features but also think about how AI enhances the user experience and operational efficiency for customers. The emphasis on SDLC ownership and mentorship indicates a senior-level role.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical work experience.
• A Master's degree may substitute for 2 years of experience, and a PhD without experience is also considered.

Experience:

• 5+ years of experience in software engineering, with a proven track record of delivering high-quality products.
• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving.
• Proven experience designing and delivering AI-powered user experiences, including conversation design, LLM integration, prompt engineering, and retrieval-augmented generation (RAG).
• 1+ years of experience integrating Copilot/Windsurf (or equivalent AI-assisted development tools).

Required Skills:

• Deep knowledge of core web technologies: Javascript, AJAX, JSON, HTML, XML, CSS, REST.
• Proficiency with modern front-end frameworks such as Angular, React, or Vue.
• Strong skills in Java and related frameworks.
• Strong skills in CI/CD pipelines, containerization (Kubernetes, Docker), and cloud-native deployments.
• Strong knowledge of data structures, algorithms, object-oriented design, design patterns, and performance optimization.
• Strong command of query languages: SQL, Prometheus Query Language.
• Familiarity with automated testing frameworks (e.g., JUnit, Selenium, TestNG) and integrating tests into CI/CD pipelines.
• Understanding of software quality principles including reliability, observability, and production readiness.
• Comfort with development tools such as IDEs, debuggers, profilers, source control, and Unix-based systems.
• Excellent troubleshooting, debugging, and performance optimization skills in distributed and enterprise environments.
• Strong collaboration and stakeholder communication skills.

Preferred Skills:

• Experience with AI orchestration frameworks and building workflows for agentic or multi-agent systems.
• Development experience on the ServiceNow Platform.
• Experience with High Charts.
• Domain expertise in evaluating root causes with LLMs.
• Hands-on expertise with AI-powered tools or workflows, including validation of datasets, model predictions, and inference consistency.

📝 Enhancement Note: The qualifications highlight a significant blend of traditional UI/frontend engineering expertise with a strong, forward-looking emphasis on AI integration and modern cloud-native development practices. The requirement for specific AI tool experience (Copilot/Windsurf) and LLM familiarity is a key differentiator. The mention of "domain expertise preferred" with LLMs suggests that candidates who can understand and apply AI to specific problem domains will have an advantage.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase of end-to-end software development lifecycle (SDLC) ownership, demonstrating contributions from concept to deployment.
• Examples of designing and implementing scalable, maintainable, and reusable software components, with a clear emphasis on UI development.
• Demonstrations of AI-powered user experiences, including specific examples of LLM integration, prompt engineering, or RAG implementation.
• Projects that highlight the ability to build intuitive and extensible user interfaces using modern UI frameworks (e.g., React, Angular, Vue).
• Evidence of integrating automated testing into workflows and a commitment to software quality principles (reliability, observability, production readiness).

Process Documentation:

• Documented workflows or case studies detailing how you've translated product requirements into well-architected solutions, ideally with AI integration.
• Examples of designing and implementing CI/CD pipelines, containerization (Docker, Kubernetes), and cloud-native deployments.
• Process documentation illustrating your approach to performance optimization and troubleshooting in distributed systems.
• Case studies demonstrating the application of AI-assisted tools in the development process, showcasing efficiency gains or improved code quality.

📝 Enhancement Note: For a Senior Software Engineer role, a portfolio is crucial. It should not only display technical proficiency but also demonstrate strategic thinking around AI integration, SDLC management, and the ability to deliver complex, scalable UI solutions. The emphasis should be on showcasing projects that reflect the primary responsibilities, particularly those involving AI-powered UX and Observability tools.

💵 Compensation & Benefits

Salary Range:

• Based on industry benchmarks for Senior Software Engineers with 5-10 years of experience in the US tech market, particularly in roles involving advanced technologies like AI and cloud services, a competitive salary range is estimated.
• Estimated Annual Salary: $140,000 - $190,000 USD.
• This range can vary based on specific location (e.g., cost of living differences between Orlando and potential remote locations), candidate experience, and negotiation. ServiceNow is a major tech employer, and compensation often reflects this.

Benefits:

• Comprehensive health, dental, and vision insurance plans.
• Stock options or Restricted Stock Units (RSUs) as part of the compensation package.
• Generous paid time off (PTO), holidays, and sick leave.
• 401(k) retirement plan with company match.
• Professional development opportunities, including training, conferences, and certifications.
• Parental leave and other family-focused benefits.
• Employee Assistance Program (EAP).
• Opportunities to work with cutting-edge AI and cloud technologies.

Working Hours:

• Standard full-time work week, typically 40 hours per week.
• Primary working hours are aligned to Pacific Standard Time (PST). Candidates must be willing and able to flex their schedule to support collaboration across multiple time zones on an as-needed basis.
• The "Work Persona" is listed as "Flexible or Remote," indicating potential for hybrid or fully remote arrangements depending on role and location.

📝 Enhancement Note: Salary estimates are based on general US tech industry data for senior-level software engineers. ServiceNow, being a large enterprise software company, typically offers competitive compensation and a robust benefits package to attract top talent. The PST alignment for working hours is a critical detail for candidates to consider, especially if they are in a different primary time zone.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software / Cloud Computing / Enterprise Service Management. ServiceNow is a leader in digital workflow automation, providing a cloud-based platform that connects people, functions, and systems to drive business outcomes. Company Size: Over 10,000 employees globally. This signifies a large, established organization with structured processes, ample resources, and diverse career opportunities. Founded: 2004. ServiceNow has a significant history and has evolved from a visionary startup into a global market leader, demonstrating sustained innovation and market adaptation.

Team Structure:

• The role is within the Global Cloud Services organization, specifically focusing on customer-facing cloud Observability tools.
• This team likely consists of various engineering disciplines, including frontend, backend, SRE/DevOps, and potentially AI/ML specialists.
• Collaboration is expected across product management, design, and other engineering teams to deliver integrated solutions.
• As a Senior Engineer, you will likely work within a principal or senior-led engineering pod or squad.

Methodology:

• Agile Development: Embrace iterative development cycles, with a focus on rapid prototyping, continuous integration, and continuous delivery (CI/CD).
• AI-First Design: A core methodology involves designing and implementing AI-native products and features, embedding intelligent capabilities into the user experience.
• Data-Driven Decision Making: Utilizing data and AI-powered insights for development, monitoring, and problem-solving.
• Engineering Craftsmanship: Emphasis on writing clean, maintainable, and high-quality code, with a strong focus on performance, reliability, and testability.
• DevOps and Cloud-Native Practices: Leveraging containerization (Kubernetes, Docker) and cloud-native deployment strategies.

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

📝 Enhancement Note: ServiceNow's culture is characterized by its focus on innovation, customer success, and employee development. The company's rapid growth and market leadership are testament to its ability to adapt and deliver value. The explicit mention of AI-enhanced technology and AI-first design principles indicates a company that is heavily investing in and prioritizing artificial intelligence.

📈 Career & Growth Analysis

Operations Career Level: Senior Software Engineer - UI. This is a mid-to-senior level individual contributor role, requiring deep technical expertise and the ability to mentor others. The focus on UI development within a cloud services and observability context positions it as a specialized engineering track.

Reporting Structure:

• The role reports into management within the Global Cloud Services organization.
• While the specific reporting line isn't detailed, Senior Engineers typically work closely with Engineering Managers, Directors, and collaborate heavily with Product Managers and Architects.

Operations Impact:

• This role directly impacts the customer experience by developing intuitive and AI-powered Observability tools, enabling self-service monitoring.
• Enhancing the reliability and performance of ServiceNow's cloud platform through robust Observability contributes to overall customer satisfaction and retention, indirectly driving revenue.
• By improving internal development processes with AI-assisted tools and CI/CD, the role contributes to faster product delivery and operational efficiency.

Growth Opportunities:

• Technical Specialization: Deepen expertise in AI-powered UX, Observability, cloud-native architectures, specific UI frameworks, or AI/ML integration.
• Lead/Principal Engineer Track: Progress to a Lead or Principal Engineer role, taking on more complex architectural challenges, technical leadership, and mentorship responsibilities.
• Management Track: Transition into engineering management, leading teams and driving strategy.
• Cross-Functional Exposure: Opportunities to work on different product areas or collaborate with other ServiceNow divisions.
• Continuous Learning: Access to internal training, external conferences, and resources to stay current with AI and software engineering advancements.

📝 Enhancement Note: The "Senior" title implies expectations of technical leadership, mentorship, and the ability to drive complex projects independently. The growth opportunities are standard for a large tech company, with clear paths for both individual technical contribution and potential management roles. The emphasis on AI and Observability suggests that developing expertise in these cutting-edge areas will be highly valuable for career progression.

🌐 Work Environment

Office Type: ServiceNow offers a "Flexible or Remote" work persona, indicating a hybrid approach. This means employees may work from home partially or fully, or from an office location depending on their role and team needs. The primary working hours are PST, suggesting a need for asynchronous collaboration or participation in PST-aligned meetings.

Office Location(s):

• Primary indicated location: Orlando, Florida.
• Alternate/remote possibility: Boise, Idaho.
• ServiceNow has numerous offices globally, with a significant presence in North America.

Workspace Context:

• Collaborative and Innovative: ServiceNow fosters a culture that encourages idea-sharing and cross-functional teamwork.
• Technology-Rich Environment: Access to modern development tools, cloud infrastructure, and AI-assisted technologies.
• Global Team Interaction: Opportunities to collaborate with diverse teams across different geographical locations and time zones.
• Focus on Efficiency: The company's mission is to help organizations work better, reflecting an internal focus on efficient processes and tools.

Work Schedule:

• Standard full-time, 40-hour work week.
• Flexibility is offered through the "Flexible or Remote" work persona.
• However, adherence to PST working hours for core collaboration is a requirement.

📝 Enhancement Note: The "Flexible or Remote" work persona, coupled with the PST working hours requirement, suggests a modern work environment prioritizing output and collaboration over strict location-based attendance. Candidates should be comfortable with a degree of autonomy and asynchronous communication, while also being available for key meetings aligned with PST.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely a recruiter screen to assess basic qualifications, interest, and cultural fit.
• Technical Phone Screen: An interview with an engineer to evaluate core technical skills, problem-solving abilities, and experience with relevant technologies (e.g., Javascript, Java, AI concepts).
• On-Site/Virtual Interviews (Multiple Rounds):
  • Coding Challenges: Practical coding exercises, potentially focusing on UI development, algorithm implementation, or system design.
  • System Design Interview: Discussion on designing scalable, resilient systems, potentially focusing on Observability platforms or AI-driven features.
  • Behavioral/Situational Interviews: Questions assessing collaboration, leadership, problem-solving, and experience with AI integration.
  • Portfolio Review: A dedicated session where candidates present their work, case studies, and demonstrate their impact.
• Hiring Manager Interview: Final discussion to assess overall fit, career aspirations, and alignment with team goals.
• Background Screening: Mandatory USFedPASS screening, including credit check, criminal check, and drug test, for all selected candidates.

Portfolio Review Tips:

• Highlight AI Integration: Showcase specific projects where you've leveraged AI tools, integrated LLMs, or designed AI-powered UX.
• Emphasize UI Expertise: Clearly demonstrate your proficiency in modern frontend frameworks, UI principles, and creating intuitive user experiences.
• Quantify Impact: Use metrics to show the results of your work – e.g., performance improvements, efficiency gains from AI tools, user adoption rates, or reliability enhancements.
• Structure Case Studies: For key projects, present a clear problem statement, your solution, the technologies used, your specific contributions, and the measurable outcomes.
• Code Samples: Be prepared to discuss specific code snippets from your portfolio, explaining design choices and best practices.
• Focus on SDLC: Explain your role and contributions across the entire development lifecycle.

Challenge Preparation:

• Data Structures & Algorithms: Brush up on fundamental CS concepts.
• Frontend Development: Practice common UI patterns, state management, and performance optimization techniques.
• System Design: Prepare for questions on scalability, distributed systems, APIs, and cloud architectures relevant to Observability and AI platforms.
• AI Concepts: Be ready to discuss how AI can be integrated into software development and user experiences, including prompt engineering and LLM capabilities.
• Behavioral Questions: Use the STAR method (Situation, Task, Action, Result) to structure answers about past experiences.

📝 Enhancement Note: The interview process for a senior role at a company like ServiceNow is rigorous. The emphasis on AI integration and portfolio presentation means candidates must be prepared to not only discuss their technical skills but also articulate the strategic value and impact of their work, particularly concerning AI. The mandatory background check is a significant hurdle for candidates not meeting US citizenship/residency requirements.

🛠 Tools & Technology Stack

Primary Tools:

• Frontend Frameworks: Angular, React, or Vue.js.
• Core Web Technologies: Javascript, HTML, CSS, AJAX, JSON, XML.
• Backend Languages: Java (primary for this role), Python (preferred).
• UI Libraries/Tools: High Charts (preferred), general charting/visualization libraries.
• Development Tools: IDEs (e.g., VS Code, IntelliJ IDEA), Git (source control), debuggers, profilers.

Analytics & Reporting:

• Observability Platforms: Tools for monitoring, logging, and tracing.
• Query Languages: SQL, Prometheus Query Language (PromQL).
• CI/CD Tools: Jenkins, GitLab CI, GitHub Actions, or similar for automated build, test, and deployment pipelines.

CRM & Automation:

• ServiceNow Platform: Development experience on ServiceNow is a significant plus.
• Containerization: Kubernetes, Docker.
• Cloud-Native Deployments: Experience with cloud platforms (AWS, Azure, GCP).
• AI-Assisted Development Tools: Copilot, Windsurf, or equivalent.

📝 Enhancement Note: The technology stack is a blend of modern frontend development, robust backend languages, and essential cloud-native/DevOps tools. The specific mention of AI-assisted tools like Copilot and the requirement for query languages like PromQL and SQL are critical for candidates to note. Familiarity with ServiceNow's own platform is a strong advantage.

👥 Team Culture & Values

Operations Values:

• Innovation: Driving the future of work through AI-enhanced technology and platform capabilities.
• Customer Success: Commitment to helping customers run their businesses more effectively and efficiently.
• Integrity: Upholding ethical standards and transparency in all operations.
• Excellence: Striving for high-quality, reliable, and scalable solutions.
• Collaboration: Working together across teams and geographies to achieve shared goals.
• AI-First Mindset: Actively seeking ways to integrate AI to improve products, processes, and customer experiences.

Collaboration Style:

• Cross-functional Partnership: Close collaboration with product management, design, and other engineering teams to ensure alignment and successful product delivery.
• Knowledge Sharing: A culture that encourages sharing best practices, technical insights, and learnings through code reviews, design sessions, and internal forums.
• Mentorship: Senior engineers are expected to mentor junior team members, fostering growth and development within the team.
• Agile and Iterative: Working in agile sprints, with regular feedback loops and continuous improvement.

📝 Enhancement Note: ServiceNow's values emphasize innovation, customer focus, and teamwork. The "AI-First Mindset" is particularly relevant to this role, suggesting that candidates who are passionate about and proactive in exploring AI applications will thrive. The collaborative environment, combined with the PST working hours, implies a need for strong communication and proactive engagement.

⚡ Challenges & Growth Opportunities

Challenges:

• Integrating AI Effectively: Designing and implementing AI features that provide genuine value and are seamlessly integrated into the user experience, avoiding "AI for AI's sake."
• Scalability and Performance: Ensuring that Observability tools and AI-powered features remain performant and scalable for a large, global customer base.
• Time Zone Collaboration: Effectively collaborating with teams and stakeholders across different time zones, particularly with the PST alignment requirement.
• Rapid Technological Evolution: Keeping pace with the fast-evolving landscape of AI, LLMs, and frontend technologies.
• Security and Compliance: Navigating the strict security and compliance requirements, especially for roles requiring USFedPASS screening.

Learning & Development Opportunities:

• Advanced AI/ML Training: Access to internal and external resources to deepen knowledge in AI, LLMs, prompt engineering, and agentic systems.
• Cloud-Native Technologies: Opportunities to gain or enhance expertise in Kubernetes, Docker, and cloud deployment strategies.
• ServiceNow Platform Expertise: Becoming a subject matter expert on the ServiceNow platform and its ecosystem.
• Leadership Development: Training and mentorship programs for developing technical leadership and management skills.
• Industry Conferences: Potential for attendance at leading tech and AI conferences.

📝 Enhancement Note: The challenges are typical for a senior role in a cutting-edge tech company, requiring adaptability and continuous learning. The growth opportunities are robust, offering clear pathways for technical and professional advancement within a leading enterprise software organization.

💡 Interview Preparation

Strategy Questions:

• AI Integration Strategy: "Describe how you would approach integrating a new LLM capability into our Observability platform. What are the key considerations for UX, performance, and data privacy?"
• UI/UX Design Philosophy: "Walk us through your process for designing a user-friendly interface for complex data visualization. How do you ensure it's intuitive for self-service monitoring?"
• Problem Solving with AI: "Imagine a customer reports intermittent performance issues. How would you leverage AI tools and your technical skills to diagnose and resolve the root cause?"
• Scalability and Reliability: "How would you design a component to ensure it’s both highly performant and reliable under heavy load, especially concerning real-time data processing for Observability?"

Company & Culture Questions:

• "Why are you interested in ServiceNow and this specific role focusing on AI-powered Observability?"
• "How do you approach collaboration within a globally distributed team, especially with a PST working hour alignment?"
• "Describe a time you mentored a junior engineer or shared your technical knowledge to improve team capabilities."
• "How do your personal values align with ServiceNow's values of innovation, customer success, and excellence?"

Portfolio Presentation Strategy:

• Storytelling with Data: For each project, clearly articulate the problem, your unique contribution, the technical solutions implemented (especially AI aspects), and the measurable business impact or technical improvements achieved.
• Demonstrate AI Impact: Explicitly show how AI tools or concepts were used and what benefits they brought (e.g., faster development, improved insights, enhanced UX).
• Technical Depth: Be prepared to dive deep into the architecture, code quality, and design decisions behind your showcased projects.
• Interactive Walkthrough: If possible, provide live demos or interactive elements to showcase UI functionality and responsiveness.
• Tailor to Observability: Connect your portfolio examples to the requirements of an Observability platform – e.g., data visualization, real-time monitoring, alerting, root cause analysis.

📝 Enhancement Note: Preparation should focus on bridging the candidate's experience with ServiceNow's specific needs in AI, Observability, and cloud services. Demonstrating a clear understanding of the company's mission and how the role contributes to it will be crucial. The portfolio is a key asset; candidates must be skilled at presenting their work persuasively.

📌 Application Steps

To apply for this Senior Software Engineer - UI position:

• Submit your Application: Navigate to the ServiceNow careers portal or the provided SmartRecruiters link and submit your resume and any requested information.
• Tailor Your Resume: Ensure your resume clearly highlights your experience with Javascript, modern UI frameworks (React, Angular, Vue), Java, CI/CD, AI integration, and any experience with Observability tools or AI-assisted development tools (Copilot). Quantify achievements wherever possible.
• Prepare Your Portfolio: Curate your best work, focusing on UI development, AI-powered features, and scalable system design. Prepare concise case studies for 2-3 key projects that showcase your impact and skills relevant to this role.
• Research ServiceNow: Understand their platform, their focus on AI and digital workflows, and their company culture. Be ready to articulate why you are a good fit for their specific environment.
• Practice Interview Questions: Rehearse answers to technical, behavioral, and system design questions, paying special attention to how you would integrate AI into solutions and your experience with Observability concepts.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details, especially regarding compensation, specific benefits, and the exact interview process, should be verified directly with ServiceNow hiring representatives before making application decisions. The USFedPASS screening requirement is critical and applies to all selected candidates.