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ServiceNow is seeking a Software Engineer to design and develop scalable, maintainable software components with emphasis on performance and reliability. You will collaborate with product managers to translate requirements into well-architected solutions, owning features from design through delivery. The role involves building intuitive user experiences using modern UI frameworks (Angular, React, Vue) and ensuring flexibility for customer-specific needs.
Key responsibilities include contributing to the design and implementation of new products and features while enhancing existing capabilities. You will integrate automated testing into development workflows, participate in design and code reviews to ensure best practices in performance and maintainability, and develop comprehensive test strategies covering functional, regression, integration, and performance aspects. You'll foster a culture of continuous learning by sharing best practices in engineering and quality, and promote engineering craftsmanship and knowledge-sharing across the team.
ServiceNow is positioning itself as an AI control tower for business reinvention, and this role emphasizes critical thinking about integrating AI into work processes and decision-making. You will work with AI-powered tools and workflows, including validation of datasets, model predictions, and inference consistency.
REQUIREMENTS:
- 2+ years of software engineering experience with a track record of delivering high-quality products
- 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 (JUnit, Selenium, TestNG) and CI/CD pipeline integration
- Understanding of 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
- Experience leveraging critical thinking about how to integrate AI into work processes, decision-making, or problem-solving
