Staff Software Engineer, ServiceNow

• 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
• Typically requires a minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years experience; or equivalent experience
• Experience In using AI Productivity tools such as Windsurf, Cursor, etc is a plus or nice to have
• 6+ years of hands-on backend development with experience in Java
• 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
• Relational Database Experience: Developing on, troubleshooting, and optimizing performance
• Good understanding of cloud-based and distributed systems. Knowledge and/or experience with relational databases: Oracle, MySQL, MariaDB, MS SQL Server
• Deep knowledge of databases, data modelling, and data storage technologies
• Experience with troubleshooting difficult production issues e.g., memory leaks, concurrency issues, locking issues, network problems, intermittent failures etc. across the stack

Desirable

• 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
• As part of the Persistence organization, you’ll be building the backbone of the ServiceNow AI Platform — the system that powers reliability, scale, and intelligent transformation. You will help:
• Innovate to bring better (quality, performant, scalable, secure) access to our data platform that internal and external customers build upon
• Enable Cypher-like query capabilities on relational domains (like CMDB), supporting deep analytics and insight
• Push IO, transaction, and concurrency limits across relational, time-series, and columnar stores
• Innovate to bring more capability to developers and automation to end customers
• The Graph API team is part of the Data Access team, responsible for translating customers’ data requests from the ServiceNow platform and accurately querying the database using our home-grown SQL generation engine. This team is responsible for SQL generation into PostgreSQL, MariaDB, and Oracle databases, as well as table management and database metadata
• You’ll work on top of core data architecture that touches every part of our product, ensuring our systems maintain quality, reliability, security and performance. 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