Senior Software Engineer - UI

ServiceNow•Orlando, FL

14d

About The Position

NOTE: This position requires passing a ServiceNow background screening, USFedPASS (US Federal Personnel Authorization Screening Standards). This includes a credit check, criminal/misdemeanor check and taking a drug test. Any employment is contingent upon passing the screening. Due to Federal requirements, only US citizens, US naturalized citizens or US Permanent Residents, holding a green card, will be considered. As a Sr. Software Engineer you will be a member of our Global Cloud Services organization.  In this challenging role, you will have the opportunity to build next generation customer facing cloud Observability tools.  You will also work cross functionally with multiple teams on the design, architecture and implementation of our Observability platform with the focus on AI powered UX that enables self-service monitoring for our customers. This role requires the candidate to spend 90% of time on UI development and 10% on backend development.

Requirements

Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
Proven experience designing and delivering AI-powered user experiences, including conversation design, LLM integration, prompt engineering, and retrieval-augmented generation (RAG).
1+ years of integrating Copliot/windsurf (or equivalent)
5+ years of experience in software engineering, with a track record of delivering high-quality products + reviews risks with a Bachelor's degree; or 3 years and a Master's degree; or a PhD without experience; or equivalent work experience.
Strong knowledge of UX principles (human-centered design, trust, transparency, error recovery) and ability to apply them to autonomous and semi-autonomous AI agents.
Deep knowledge of Javscript, AJAX, JSON, HTML, XML, CSS, REST, High charts and associated frameworks
Passion for evaluating root causes with LLMs and problem solving, domain expertise preferred
Strong skills in Java and related frameworks
Strong skills in CI/CD pipelines, containerization (Kubernetes, Docker), and cloud-native deployments using AI-assisted tools
Strong in query language - SQL, Prometheus Query Language

Nice To Haves

Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
Excellent troubleshooting, debugging, and performance optimization skills in distributed and enterprise environments.
Strong collaboration and stakeholder communication skills, with the ability to influence product direction and champion AI-first design principles.
Hands-on expertise with AI orchestration frameworks and building workflows for agentic or multi-agent systems.
Development experiences on the ServiceNow Platform is a big plus.
Proficiency in Python, Java, or similar object-oriented languages.
Experience with modern front-end frameworks such as Angular, React, or Vue.
Strong knowledge of data structures, algorithms, object-oriented design, design patterns, and performance optimization
Familiarity with automated testing frameworks (e.g., JUnit, Selenium, TestNG) and integrating tests into CI/CD pipelines
Understanding software quality principles including reliability, observability, and production readiness.
Ability to troubleshoot complex systems and optimize performance across the stack.
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

Responsibilities

Design and develop scalable, maintainable, and reusable software components with a strong emphasis on performance and reliability.
Collaborate with product managers to translate requirements into well-architected solutions, owning features from design through delivery
Build intuitive and extensible user experiences using modern UI frameworks, ensuring flexibility for customer-specific needs.
Contribute to the design and implementation of new products and features while enhancing existing product capabilities.
Integrate automated testing into development workflows to ensure consistent quality across releases.
Participate in design and code reviews ensuring best practices in performance, maintainability, and testability
Develop comprehensive test strategies covering functional, regression, integration and performance aspects
Foster a culture of continuous learning and improvement by sharing best practices in engineering and quality
Promote a culture of engineering craftsmanship, knowledge-sharing, and thoughtful quality practices across the team.
Develop High-Quality, Scalable, and Reusable Code Using AI-Assisted Tools
Write clean, maintainable, and modular code by applying best practices in software architecture and engineering and leverage AI-assisted design and development tools to accelerate implementation and enforce consistency across the codebase.
Own the End-to-End Software Development Lifecycle (SDLC)
Collaborate closely with product owners to gather detailed requirements and translate them into technical solutions.
Drive the full SDLC—from rapid prototyping to design, implementation, testing, and deployment—using AI-powered code generation, testing, and CI/CD tools to ensure speed and quality.
Design and implement Observability products and features that are AI-native
Embedding intelligent capabilities such as automation, personalization, and predictive insights into the core of the user experience.
Act as a mentor to peers and junior engineers by sharing AI/ML and software engineering knowledge through code reviews, design sessions, and technical discussions.