Staff data software engineer
Company Description
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. Job Description Are you energized by the power of enterprise-scale data to transform how we work? At ServiceNow, our mission is to “make the world of work, work better for people,” and our AI-driven platform is delivering on that promise. We’re the #1 enterprise platform for uniting AI, data, and workflows — simplifying how people work, automating what slows them down, and enabling seamless, impactful experiences. Learn more about Service Now's Mission and Business. About the Role – Staff Data Platform Software Engineer, Graph API Team 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
- 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.
- Be a master at managing and enhancing a complex codebase with quality and speed
- Delivering projects on time and with quality, with others engineers in tow.
- Having aptitude for learning new technologies quickly.
- Developing platform technologies at scale.
- Relational Database Experience: Developing on, troubleshooting, and optimizing performance.
- You’ll mentor junior engineers to help them thrive in a complex codebase
- Having aptitude for learning new technologies quickly.
- Demonstrated success completing complex projects, on time.
- Experience with troubleshooting difficult production issues e.g., memory leaks, concurrency issues, locking issues, network problems, intermittent failures etc. across the stack.
- 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 AI Productivity tools such as Windsurf, Cursor, etc is a plus or nice to have.
- 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
- 6+ years of hands-on backend development with experience in Java.
- Good understanding of cloud-based and distributed systems.
- Deep knowledge of databases, data modelling, and data storage technologies.
- Proficiency in Java programming and strong expertise in data structures and algorithms.
- Knowledge and/or experience with relational databases: Oracle, MySQL, MariaDB, MS SQL Server
- Familiarity with ServiceNow platform is a plus.
- Familiarity with RDBMS internals.
- Passionate about database technologies
- Experience with Unix shell.
- Experience working in a DevOps environment.
- Experience working in a customer focused environment.
- Experience with Knowledge Graph technologies like Cypher and Neo4J
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