ServiceNow
Sr Software Engineer
Senior software engineer at ServiceNow in Santa Clara designing and building scalable, AI-powered enterprise software components. Day-to-day work spans full-stack development (Python/Java plus modern front-end frameworks like Angular/React), owning features from design to delivery, and integrating automated testing and code reviews.
- Compensation
- $143.2K–$193.3K / yr
- Location
- Santa Clara, CALIFORNIA, us
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 1+ years
- Category
- Software engineering
- Posted
Skills
Must have
- Experience applying critical thinking to integrate AI into work processes, decision-making, or problem-solving
- Bachelor's degree or higher in Computer Science, Computer Engineering, or related field
- 5-8 years of experience in software engineering with a track record of delivering high-quality products
- 1+ year of practical experience with AI/ML-powered features, agentic systems, or LLM-based tooling
- Proficiency in Python, JavaScript, TypeScript, Java, or similar object-oriented languages
- Experience with modern front-end frameworks such as Angular and/or React
- Strong knowledge of data structures, algorithms, object-oriented design, design patterns, and performance optimization
- Experience with REST/API-driven development and integration patterns
- Familiarity with automated testing frameworks (e.g., JUnit, Selenium, TestNG) and integrating tests into CI/CD pipelines
- Strong debugging and problem-solving skills in complex, distributed systems
- 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
- Exposure to AI-native development tools (e.g., Claude Code, Cursor, Copilot)
- Comfort with development tools such as IDEs, debuggers, profilers, source control, and Unix-based systems
Full description
About the Team:
The engineering organization is a dynamic group of builders, thinkers, and problem-solvers dedicated to delivering scalable, AI-powered software products that elevate how organizations work. We value clean architecture, intuitive user experiences, and a culture of continuous improvement. Every engineer here plays a key role in shaping the quality and reliability of our products.
What you get to do in this role:
- 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.
To be successful in this role you have:
- Experience applying critical thinking 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.
- Bachelor's degree or higher in Computer Science, Computer Engineering, or related field
- 5-8 years of experience in software engineering, with a track record of delivering high-quality products.
- 1+ year of practical experience with AI/ML-powered features, agentic systems, or LLM-based tooling
- Proficiency in Python, Javascript, Typescript, Java, or similar object-oriented languages.
- Experience with modern front-end frameworks such as Angular and/or React.
- Strong knowledge of data structures, algorithms, object-oriented design, design patterns, and performance optimization.
- Experience with REST/API-driven development and integration patterns
- Familiarity with automated testing frameworks (e.g., JUnit, Selenium, TestNG) and integrating tests into CI/CD pipelines.
- Strong debugging and problem-solving skills in complex, distributed systems
- Ability to troubleshoot complex systems and optimize performance across the stack.