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ServiceNow

Staff Data Platform Software Engineer - Persistence

Location
Santa Clara, CALIFORNIA, United States
Work model
OnSite
Seniority
Staff
Employment
FullTime
Posted
Added to Codestelle
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Language requirements

German
Not specified
English alone
Not specified

Based on explicit wording in the listing. “Not specified” does not mean a language is optional.

About this role

Position Overview: 

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. 

What you get to do in this role:

  • 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.

To Be Successful in this role you have:

  • 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. 
  • 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. 
  • Strong understanding of cloud-based and distributed systems. 
  • Familiarity with ServiceNow platform is a plus. 
  • Excellent problem-solving and communication skills. 
  • 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. 


For positions in this location, we offer a base pay of $176,100 - $308,200, 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.