Data Platform Software Engineer

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people.

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.

The Data Access team is responsible for translating customers’ data requests from the ServiceNow platform and querying the database using our home-grown SQL generation engine. This team is responsible for SQL generation into Trino, PostgreSQL, MariaDB, and Oracle databases, as well as table management and database metadata. As a Software Engineer (IC2) on the Data Platform team, you will have the opportunity to become a key member of the Platform Persistence group. Team members will be mentored in the necessary skills to become successful contributors to the team. 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. Develop solutions to access data from many databases and data lakes. Collaborate with product managers to translate requirements into well-architected solutions, owning features from design through delivery 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.

Experience in leveraging critical 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 bachelor's degree and a minimum of 2 years of related experience; or an advanced degree without experience; or equivalent work experience. Proficiency in backend development with experience in Java. 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 Comfort with development tools such as IDEs, debuggers, profilers, source control, and Unix-based systems. Relational Database Experience: Developing, troubleshooting, and