Staff Data Platform Software Engineer - Persistence

ServiceNow•Santa Clara, CA

1d•$176,100 - $308,200•Hybrid

About The Position

ServiceNow is seeking a highly motivated and experienced Staff Software Engineer in Platform Persistence to solve complex problems in management of data lifecycles within the ServiceNow ecosystem. This pivotal role focuses on ensuring the efficient stewardship of data within our platform. The Platform Persistence team is at the forefront of some of the most impactful projects, offering visibility to the executive leadership. As part of this team, you will play a crucial role in shaping the future of our platform’s data architecture and ensuring that data is stored, retrieved, and managed efficiently. In addition to traditional data management, this team will have a unique focus on telemetry and data visualization, making a substantial impact on how customer and platform data is utilized and presented.

Requirements

8+ years of software development experience with a Bachelor's degree; OR 5+ years with Master's degree; OR 3+ years with a PhD; OR equivalent work experience.
Proficiency in Java programming and strong expertise in data structures and algorithms.
Proficiency with concurrency and parallel programming concepts.
Working knowledge of databases, data modeling, and data storage technologies.
Strong relational database experience to handle large amount of data on relational systems.
Strong understanding of cloud-based and distributed systems.
Excellent problem-solving and communication skills.

Nice To Haves

Deep knowledge of Kubernetes and hands-on experience with Kubernetes service deployment is a strong plus.
Working knowledge of distributed storage systems such as S3 and Apache Iceberg.
Familiarity with ServiceNow platform is a plus.
Working knowledge of JavaScript is beneficial for cross-functional collaboration.
Experience with AI-assisted development tools and awareness of related guardrails/process is a plus.

Responsibilities

Writing highly scalable code leveraging best practices on concurrency and memory utilization.
Contribute to data management strategies, ensuring scalability, efficiency, and security.
Collaborate with cross-functional teams to 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, including distributed storage systems (S3, Apache Iceberg) and Kubernetes-based deployments.
Use AI tools to help solve challenging data and distributed systems problems at scale, applying sound judgment on guardrails and process for AI-led software development.
Fosters a culture of innovation and continuous improvement.