Senior Software Engineer - UI

📍 Job Overview

Job Title: Senior Software Engineer - UI Company: ServiceNow Location: Helena, Montana, United States (Remote possible) Job Type: Full-time Category: Software Engineering - UI/Frontend Date Posted: February 18, 2026 Experience Level: 5-10 years Remote Status: Flexible or Remote

🚀 Role Summary

• This Senior Software Engineer role focuses on building next-generation customer-facing cloud Observability tools within the Global Cloud Services organization, emphasizing AI-powered User Experience (UX) for self-service monitoring.
• The position requires a strong blend of UI development (90%) and backend development (10%), focusing on designing, architecting, and implementing scalable, reliable, and performant software components.
• Candidates will collaborate with product managers and cross-functional teams to translate requirements into well-architected solutions, owning features from design through delivery, leveraging AI-assisted tools for accelerated development and enhanced quality.
• A key aspect of this role involves embedding intelligent, AI-native capabilities into the core user experience, including automation, personalization, and predictive insights.
• This role necessitates a deep understanding of modern UI frameworks and a passion for problem-solving, with a strong emphasis on testing, code quality, and continuous improvement.

📝 Enhancement Note: The job description specifies a "Flexible or Remote" work persona, indicating that while the role is posted with an Orlando, Florida address, remote work is a possibility for this position. The primary working hours are aligned with Pacific Standard Time (PST), requiring flexibility for cross-time zone collaboration. This role is within the "Global Cloud Services" organization, suggesting a focus on enterprise-level cloud infrastructure and customer-facing applications.

📈 Primary Responsibilities

• Design, develop, and implement scalable, maintainable, and reusable software components with a primary focus on UI development, ensuring high performance and reliability.
• Collaborate closely with product managers and stakeholders to translate business requirements into robust, well-architected technical solutions, managing features from conception to deployment.
• Build intuitive, extensible, and user-friendly interfaces using modern UI frameworks, with a focus on AI-powered UX and enabling customer self-service monitoring capabilities.
• Contribute to the end-to-end software development lifecycle (SDLC), including rapid prototyping, design, implementation, automated testing, and deployment, utilizing AI-assisted tools for efficiency.
• Integrate automated testing strategies and frameworks into development workflows to ensure consistent software quality, functional correctness, and regression prevention across releases.
• Participate actively in design and code reviews, ensuring adherence to best practices in performance, maintainability, testability, and security.
• Develop comprehensive test strategies that encompass functional, regression, integration, and performance testing for cloud Observability tools.
• Foster a culture of continuous learning, knowledge sharing, and engineering craftsmanship by championing best practices in software engineering, quality, and the application of AI in development.
• Mentor peers and junior engineers by sharing expertise in AI/ML, software engineering principles, and Observability platform development through code reviews, design sessions, and technical discussions.
• Design and implement AI-native Observability products and features, embedding intelligent capabilities such as automation, personalization, and predictive insights into the core user experience.

📝 Enhancement Note: The 90% UI development focus is a critical differentiator for this role, requiring deep expertise in frontend technologies and user experience design, while still maintaining a foundational understanding of backend systems for integration purposes. The emphasis on "AI-powered UX," "LLM integration," "prompt engineering," and "RAG" indicates a strategic direction towards leveraging advanced AI capabilities within the product.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical work 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) into development workflows.
• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving.

Required Skills:

• Deep knowledge and hands-on experience with core frontend technologies: Javascript, AJAX, JSON, HTML, XML, CSS, REST.
• Proficiency in modern UI frameworks such as Angular, React, or Vue.
• Strong experience with Java and related frameworks for backend components.
• Solid understanding of UX principles (human-centered design, trust, transparency, error recovery) and their application to AI-driven interfaces.
• Experience with CI/CD pipelines, containerization (Kubernetes, Docker), and cloud-native deployments.
• Strong skills in query languages: SQL, Prometheus Query Language (PromQL).
• Experience in designing and delivering AI-powered user experiences, including LLM integration, prompt engineering, and Retrieval-Augmented Generation (RAG).
• Familiarity with automated testing frameworks (e.g., JUnit, Selenium, TestNG) and integrating tests into CI/CD pipelines.
• Excellent troubleshooting, debugging, and performance optimization skills in distributed and enterprise environments.
• Strong collaboration and stakeholder communication skills.

Preferred Skills:

• Experience developing on the ServiceNow Platform.
• Proficiency in Python or similar object-oriented languages for backend or scripting tasks.
• Hands-on expertise with AI orchestration frameworks and building workflows for agentic or multi-agent systems.
• Passion for evaluating root causes with LLMs and problem-solving, with domain expertise in Observability preferred.
• Understanding of software quality principles including reliability, observability, and production readiness.
• Experience with AI-powered tools or workflows, including validation of datasets, model predictions, and inference consistency.
• Comfort with development tools such as IDEs, debuggers, profilers, source control, and Unix-based systems.

📝 Enhancement Note: The qualification section heavily emphasizes AI integration and specific tools/languages. The "Preferred" section also includes AI-specific frameworks, suggesting the company is prioritizing candidates with forward-thinking AI development experience. The explicit mention of "AI-assisted tools" throughout the description underscores the importance of candidates familiar with AI's role in modern software development.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase end-to-end ownership of features, demonstrating the ability to take a requirement from concept through design, implementation, testing, and deployment.
• Highlight contributions to scalable, maintainable, and reusable software components, emphasizing performance and reliability metrics.
• Include examples of intuitive and extensible user experiences built with modern UI frameworks, ideally demonstrating AI-powered UX elements or customer self-service features.
• Demonstrate experience with CI/CD pipelines, containerization, and cloud-native deployments, illustrating process efficiency and automation.
• Present case studies that involve integrating AI into work processes, decision-making, or problem-solving, showcasing the application of AI tools or automation.

Process Documentation:

• Provide examples of how you have translated complex requirements into well-architected technical solutions, detailing the design and decision-making process.
• Document workflows that demonstrate your involvement in the full SDLC, particularly highlighting the use of AI-powered code generation, testing, or CI/CD tools for speed and quality.
• Illustrate your approach to developing comprehensive test strategies, including functional, regression, integration, and performance aspects for complex systems.
• Showcase examples of how you have fostered a culture of continuous learning and improvement through code reviews, knowledge sharing, and best practice dissemination.

📝 Enhancement Note: While not explicitly stated as a "portfolio requirement," the job description's emphasis on end-to-end ownership, AI integration, and modern development practices implies that candidates should be prepared to present evidence of these capabilities. This could include code repositories, project descriptions, or detailed case studies.

💵 Compensation & Benefits

Salary Range:

• Based on industry benchmarks for Senior Software Engineers in remote or flexible US roles with 5-10 years of experience, the estimated salary range is typically between $140,000 - $190,000 USD per year. This range can vary based on specific location, candidate experience, and ServiceNow's internal compensation structure.

Benefits:

• Comprehensive health, dental, and vision insurance.
• Retirement savings plan (e.g., 401(k)) with company match.
• Generous paid time off (PTO), including vacation, sick leave, and holidays.
• Stock options or restricted stock units (RSUs) as part of compensation.
• Professional development opportunities, including training, conferences, and certifications.
• Employee assistance programs and wellness initiatives.
• Potential for flexible work arrangements and remote work options.

Working Hours:

• Standard full-time work week, typically 40 hours per week.
• Primary working hours are aligned with Pacific Standard Time (PST).
• Flexibility is required to support collaboration across multiple time zones on an as-needed basis.

📝 Enhancement Note: ServiceNow is a large, established tech company with a robust benefits package. The salary estimate is based on general market data for similar roles and experience levels in the US tech industry, particularly for remote positions. Specific details will be provided by ServiceNow during the hiring process.

🎯 Team & Company Context

🏢 Company Culture

Industry: Enterprise Cloud Computing, Software as a Service (SaaS), IT Service Management (ITSM), AI Solutions. Company Size: ServiceNow is a large, global enterprise, employing over 20,000 people worldwide. This scale offers significant opportunities for career growth and impact. Founded: 2004 in San Diego, California. ServiceNow has grown into a market leader transforming how work is done through its intelligent, AI-enhanced cloud platform.

Team Structure:

• The role is within the Global Cloud Services (GCS) organization, specifically focused on building next-generation customer-facing cloud Observability tools.
• This team likely operates with a cross-functional structure, collaborating closely with Product Management, other engineering teams, and potentially Site Reliability Engineering (SRE) or Operations teams.
• The reporting structure will likely involve a senior engineering manager or director, with opportunities for mentorship from principal engineers or architects.

Methodology:

• Agile Development: The company likely follows agile methodologies (Scrum, Kanban) for iterative development and rapid deployment.
• AI-Enhanced Development: A strong emphasis is placed on leveraging AI-assisted tools for design, coding, testing, and deployment to accelerate the SDLC and improve quality.
• Cloud-Native Practices: Development will adhere to cloud-native principles, focusing on microservices, containerization, and scalable cloud infrastructure.
• Data-Driven Decision Making: Observability tools and AI insights will inform product development and operational improvements.

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

📝 Enhancement Note: ServiceNow's mission is to "make the world work better for everyone." Their culture emphasizes innovation, customer focus, and leveraging technology—particularly AI—to solve complex business problems. The "Global Cloud Services" organization is critical to delivering their platform reliably and at scale.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior Software Engineer role, indicating a mid-to-senior level position requiring significant technical expertise, autonomy, and the ability to mentor others. It's a key contributor role within the engineering hierarchy.

Reporting Structure:

• The Senior Software Engineer will likely report to an Engineering Manager or Director within the Global Cloud Services organization.
• They will collaborate closely with Product Managers, Architects, and fellow engineers (both senior and junior) on various projects.

Operations Impact:

• By developing advanced Observability tools with AI-powered UX, this role directly impacts customer satisfaction and operational efficiency by enabling customers to monitor their ServiceNow instances more effectively and proactively.
• The work contributes to the overall reliability, performance, and scalability of the ServiceNow platform, which supports over 8,100 customers, including 85% of the Fortune 500.
• The integration of AI into the platform enhances core business capabilities, driving innovation and competitive advantage for ServiceNow and its clients.

Growth Opportunities:

• Technical Specialization: Deepen expertise in UI development, AI/ML integration, cloud-native architecture, or Observability technologies.
• Leadership Development: Progress into roles such as Principal Engineer, Staff Engineer, or Engineering Lead, mentoring junior engineers and driving technical strategy.
• Cross-Functional Mobility: Opportunities to move into related areas like Product Management, SRE, or AI/ML Engineering within ServiceNow.
• Continuous Learning: Access to internal training programs, external conferences, and certifications to stay at the forefront of technology, especially in AI and cloud computing.
• Architecture and Design: Contribute to the architectural design of new features and platforms, influencing technical direction.

📝 Enhancement Note: ServiceNow is known for providing clear career paths and investing in employee growth. For a Senior Engineer, the progression often involves increasing technical depth and scope of influence, rather than immediate management roles, unless explicitly desired.

🌐 Work Environment

Office Type: ServiceNow offers a "Flexible or Remote" work persona. This suggests a hybrid approach where employees can choose to work from home, a ServiceNow