Principal Data Platform Software Engineer (RaptorDB) at ServiceNow in Santa Clara, CALIFORNIA, United States
- Company: ServiceNow
- Location: Santa Clara, CALIFORNIA, United States
- Posted: Sep 23, 2026
- Type: Full-time
- Salary: $240,100 - $420,200
- Experience: 12+ years
- Visa sponsorship available
Overview
Job Description As a Principal Data Platform Software Engineer, you take part in architecting solutions for operating RaptorDB at scale. You will take part in setting technical directions for database deployment strategies, lead cross functional design sessions and establish best practices across te…
Job description
- Job Description
- As a Principal Data Platform Software Engineer, you take part in architecting solutions for operating RaptorDB at scale. You will take part in setting 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.
Responsibilities
- Participate in architecting and designing solutions for RaptorDB deployment, operations, and resilience across ServiceNow's hybrid infrastructure (datacenters and public cloud providers).
- Collaborate across organizational boundaries to evolve backup, restore, replication, and failover systems that integrate with broader database reliability and scalability efforts across the platform.
- Drive adoption of cloud-native technologies (e.g., Kubernetes, Cloud-Native PostgreSQL) and establish reference architectures that balance operational simplicity with business requirements.
- Develop high-quality, clean, and maintainable code that enforces best practices in software architecture, automated testing, code reviews, and deployment pipelines.
- Collaborate with Architects across teams, RaptorDB development, infrastructure automation, systems engineering, and security teams to ensure database operations are secure, performant, and resilient across all environments.
- Lead performance analysis and optimization initiatives, including backup and restore times, recovery time objectives (RTO), and resource utilization across the fleet.
- Respond to urgent production incidents and provide expert guidance on database operations challenges to customer-facing and internal teams.
- Build and maintain institutional knowledge through documentation, runbooks, and architectural decision records that enable the team to scale.
Requirements
- Skilled in applying AI-assisted tools to enhance productivity across design, analytics, and software development while adhering to governance and best practices.
- Experience in working across organizations co-architecting and co-designing holistic solutions.
- Track record of helping with setting technical direction, making architectural decisions under uncertainty in a highly collaborative environment.
- 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 both engineering and non-technical audiences.
- Experience in leveraging or critical thinking about how to integrate AI into work processes, decision making, or problem solving. This includes using AI powered tools, automated workflows, analyzing AI-driven insights, or reasoning about AI’s impact on how infrastructure is built and run.
- 12+ years of software engineering experience, with 8+ years focused on database systems, infrastructure, or cloud platforms.
- 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
- Background in open-source database is a plus
Skills
Required
- In-depth Linux knowledge.
Benefits
- For positions in this location, we offer a base pay of $240,100 - $420,200, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
About ServiceNow
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. RaptorDB Operations owns the tooling, and operational excellence that safely deploys, manages, and operates RaptorDB databases across ServiceNow's global data centers and public cloud providers. Our team delivers mission-critical solutions that enable reliable service for millions of ServiceNow customers at massive scale. We partner closely with RaptorDB development team, infrastructure automation, systems engineering, security, and customer support teams to architect and implement database operations that meet rigorous standards for uptime, performance, and resilience.