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.

Database Provisioning builds the tools that safely operate and manage the databases running in ServiceNow data centers, including RaptorDB, ServiceNow's PostgreSQL-based database. Internal operations and support teams use the CLI tools we create, and so does every automation running in a ServiceNow data center. Our challenge is to deliver high-quality solutions that run reliably, without interruption, at massive scale. Our work is fundamental to ServiceNow's reliability, reputation, and success. We believe ease of use, quality, scale, and customer feedback are the pillars of good development. We work in a very collaborative environment with distributed teams in the US and Europe. New team members are mentored in the skills they need to become strong contributors. What you get to do in this role Build and improve snc-provision, our in-house framework that deploys, configures and operates RaptorDB (PostgreSQL) and MariaDB databases in production, including the snow CLI used by operations teams and automation, and Dojo, our fleet-wide scheduled maintenance and monitoring service. Own well-scoped features from design through implementation, test automation and delivery, with guidance from senior engineers. Write clean, maintainable, well-tested code, and take part in code and design reviews. Automate operational tasks across a large database fleet, from configuration management to monitoring and remediation. Help investigate production issues, including database crashes, backup/restore failures and performance problems, and learn to drive root-cause analysis from logs, stack traces, and system data. Work with operations, support, and partner engineering teams to understand requirements and turn feedback into improvements. Contribute to documentation and runbooks, and share what you learn with the team. To be successful in this role you have A solid foundation in data structures, algorithms, and object-oriented design. Hands-on experience with Linux, and an interest in learning its internals. Familiarity with relational databases, ideally PostgreSQL, MySQL or MariaDB, and a desire to learn how they run in production. Strong problem-solving skills and curiosity about how systems fail. Clear communication, and comfort working with teammates across time zones (PT, ET, CET).

Qualifications 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 bachelor's degree and a minimum of 2 years of related experience; or an advanced degree without experience; or equivalent work experience. Programming experience in Ruby, Python, Go or a similar language, plus shell scripting. Ruby is preferred but not required; engineers with Python or other scripting experience pick it up quickly. Experience with source control and CI/CD systems such as Git and Jenkins.

Puppet or another configuration management tool; database backups, replication or high availability;