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Salary: USD 240,100 - 420,200 / annual
RaptorDB Operations at ServiceNow owns the tooling and operational excellence for safely deploying, managing, and operating RaptorDB databases across ServiceNow's global data centers and public cloud providers. The team delivers mission-critical solutions enabling reliable service for millions of customers at massive scale.
As a Principal Data Platform Software Engineer, you will architect solutions for operating RaptorDB at scale, set technical directions for database deployment strategies, lead cross-functional design sessions, and establish best practices across teams. This role combines hands-on engineering excellence with technical leadership, bridging on-premise technologies, cloud-native architecture, infrastructure automation, and operational resilience.
Key responsibilities include:
- Architecting and designing solutions for RaptorDB deployment, operations, and resilience across hybrid infrastructure (datacenters and public cloud)
- Collaborating across organizational boundaries to evolve backup, restore, replication, and failover systems
- Driving adoption of cloud-native technologies (Kubernetes, Cloud-Native PostgreSQL) and establishing reference architectures
- Developing high-quality, maintainable code with strong software architecture, automated testing, code reviews, and deployment pipelines
- Collaborating with architects, RaptorDB development, infrastructure automation, systems engineering, and security teams
- Leading performance analysis and optimization initiatives for backup/restore times, RTO, and resource utilization
- Responding to urgent production incidents and providing expert guidance on database operations challenges
- Building institutional knowledge through documentation, runbooks, and architectural decision records
You will work closely with RaptorDB development, infrastructure automation, systems engineering, security, and customer support teams to architect and implement database operations meeting rigorous standards for uptime, performance, and resilience.
Requirements:
- 12+ years of software engineering experience, with 8+ years focused on database systems, infrastructure, or cloud platforms
- Experience leveraging or critical thinking about integrating AI into work processes, decision-making, or problem-solving (using AI-powered tools, automated workflows, analyzing AI-driven insights, or reasoning about AI's impact on infrastructure)
- Hands-on proficiency with multiple programming languages (Go, Python, or equivalent) and demonstrated mastery of software engineering best practices
- Experience with Kubernetes and database operators
- Experience operating databases in cloud environments
- In-depth Linux knowledge
- Excellent technical problem-solving skills
- Track record of helping set technical direction and making architectural decisions under uncertainty in collaborative environments
- Deep expertise with databases including operations, operational management, and backup/restore strategies
- Experience designing and building distributed systems with strong understanding of high-availability, failover, and disaster recovery architectures
- Exceptional communication skills; ability to articulate complex technical concepts to engineering and non-technical audiences
- Background in open-source databases is a plus
