Staff Data Platform Software Engineer - Persistence at ServiceNow | Job-Scouts.com

Staff Data Platform Software Engineer - Persistence

ServiceNow
full-time lead San Diego, CALIFORNIA, United States · More jobs in San Diego, California, United States
This position is sourced from ServiceNow's career page . Apply through Job-Scouts to track your application status.

Prefer a full account with a password? Sign Up to Apply

Job Description

Position Location:

This is a Flexible (Hybrid) position.  Flexible positions require 2 days per week in a ServiceNow office location.  We have offices in several locations, including San Francisco, CA; Pleasanton, CA; Santa Clara, CA and San Diego, CA

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.

Requirements

Department: Engineering, Infrastructure and Operations
Function: Engineering
Experience Level: Not Applicable

Location

San Diego, CALIFORNIA, United States
View on Google Maps

Similar open positions