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ServiceNow is seeking a Senior Software Engineer to join its engineering organization, which builds scalable, AI-powered software products. You will design and develop maintainable, high-performance software components and collaborate with product managers to translate requirements into well-architected solutions, owning features from design through delivery.
Key responsibilities include:
- Design and develop scalable, maintainable software components with emphasis on performance and reliability
- Collaborate with product managers to translate requirements into well-architected solutions, owning features end-to-end
- Build intuitive user experiences using modern UI frameworks (Angular, React, Vue)
- Contribute to design and implementation of new products and features
- Integrate automated testing into development workflows
- Participate in design and code reviews to ensure best practices
- Develop comprehensive test strategies covering functional, regression, integration, and performance aspects
- Foster a culture of continuous learning and engineering craftsmanship
- Troubleshoot complex systems and optimize performance across the stack
ServiceNow operates with flexible work personas depending on the nature of work and assigned location. The company values craftsmanship, quality, innovation, and continuous learning.
REQUIREMENTS:
- 6+ 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
- Critical thinking about integrating AI into work processes, decision-making, or problem-solving
- Comfort with development tools such as IDEs, debuggers, profilers, source control, and Unix-based systems
