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ServiceNow is seeking a Staff Software Engineer to join its engineering organization in Hyderabad. You will design and develop scalable, maintainable, and reusable software components with emphasis on performance and reliability. Your responsibilities include collaborating with product managers to translate requirements into well-architected solutions, owning features from design through delivery. You will build intuitive and extensible user experiences using modern UI frameworks, ensuring flexibility for customer-specific needs, and contribute to the design and implementation of new products and features while enhancing existing capabilities.
You will integrate automated testing into development workflows to ensure consistent quality across releases, participate in design and code reviews to enforce best practices in performance, maintainability, and testability, and develop comprehensive test strategies covering functional, regression, integration, and performance aspects. A key part of this role is fostering a culture of continuous learning and improvement by sharing best practices in engineering and quality, and promoting engineering craftsmanship and knowledge-sharing across the team.
ServiceNow is the AI control tower for business reinvention, with its platform bringing together any AI, any data, and any workflow to help organizations work smarter, faster, and better. The engineering organization is a dynamic group of builders, thinkers, and problem-solvers dedicated to delivering scalable, AI-powered software products.
REQUIREMENTS:
- 4–10 years of experience in software engineering 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 (e.g., JUnit, Selenium, TestNG) and integrating tests into CI/CD pipelines
- 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 in leveraging critical thinking about how to integrate AI into work processes, decision-making, or problem-solving
