Staff Software Engineer

Team Overview: Our Analytics Team is integral to the development and maintenance of robust data pipelines, semantic layers, and data applications. This team is responsible for constructing and refining data pipelines that ensure the efficient flow and transformation of data across the organization. By focusing on building and optimizing semantic layers, the team enhances data accessibility and usability, enabling more insightful and accurate analytics. The team also plays a crucial role in developing data applications that leverage these pipelines and semantic layers, providing powerful tools for data analysis and decision-making. With a commitment to continuous improvement and innovation, the Analytics Team is dedicated to delivering scalable, reliable, and high-performance solutions that meet the evolving data needs of the organization. What you get to do in this role: - Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.) - Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users. - Implement software that is simple to use to allow customers to extend and customize the functionality to meet their specific needs - Contribute to the design and implementation of new products and features while also enhancing the existing product suite - Be a mentor for colleagues and help promote knowledge-sharing To be successful in this role you have: - 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. - Experience in using Al productivity tools such as Cursor, Windsurf, etc. is a plus or nice to have - 8 to 12 years of hands-on software development experience, with deep expertise in Java and modern enterprise application design - Proven track record in building data pipelines, Analytical content including metrics , KPIs and Dashboards - Data modeling and knowledge of ERP/CRM systems such as SAP, Oracle, Salesforce, Workda - Familiarity with ETL/ELT processes, data modeling, and orchestration frameworks (e.g., Apache Airflow, Apache Spark, Kafka, MuleSoft). - Understanding of analytics tools and data visualization platforms (e.g., Tableau, Looker, Power BI) and how they integrate into workflow solutions. - Experience working with ServiceNow or similar workflow platforms (preferred). - Strong knowledge of cloud-native architectures, containerized applications, and CI/CD practices - Excellent communication, collaboration, and technical skills. FD21 Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license. It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.