Senior 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
• Proven track record of experience with relational database and ability to handle large amount of data on relational systems
• Proficiency with concurrency and parallel programming concepts
• Proven experience in leading and mentoring engineering teams
• Working knowledge of JavaScript is beneficial for cross-functional collaboration
• Excellent problem-solving and communication skills
• 12+ years of hands-on backend development with 5+ years of 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

Desirable

• The Data Access team is 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
• As a Senior Staff Software Engineer 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
• Lead and guide the development team in the design and implementation of data platform solutions
• Writing highly scalable code leveraging best practices on concurrency and memory utilization
• Shape and execute data management strategies, ensuring scalability, efficiency, and security
• Collaborate with cross-functional teams to define and implement data-related initiatives
• Explore and experiment with challenging data problems including but not limited to data loss detection & recovery
• Champion data best practices and security standards across the organization
• Monitor and optimize data performance, troubleshooting and implementing improvements as needed
• Stay current with the latest data storage and management technologies
• Act as a technical leader, providing mentorship and fostering a culture of innovation and continuous improvement