ServiceNow Logo

ServiceNow

Staff Data Platform Software Engineer - Persistence Team

Posted 2 Days Ago
Be an Early Applicant
Hybrid
Santa Clara, CA
176K-308K Annually
Senior level
Hybrid
Santa Clara, CA
176K-308K Annually
Senior level
Build and enhance ServiceNow’s enterprise data access and persistence platform. Develop scalable SQL generation, database access, table management, and metadata capabilities across relational, time-series, and columnar stores. Lead architecture, design and code reviews, testing, performance optimization, production troubleshooting, and technical direction. Collaborate with product managers, mentor engineers, and improve reliability, security, observability, and maintainability across a complex Java backend codebase.
The summary above was generated by AI
Company Description

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.

 

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; San Diego, CA; and Kirkland, WA

Are you energized by the power of enterprise-scale data to transform how we work? At ServiceNow, our mission is to "make the world of work, work better for people" and our AI-driven platform is delivering on that promise. We're the #1 enterprise platform for uniting AI, data, and workflows - simplifying how people work, automating what slows them down, and enabling seamless, impactful experiences.
About the Role - Staff Data Platform Software Engineer, Data Access Team
The engineering organization is a dynamic group of builders, thinkers, and problem-solvers dedicated to delivering scalable, AI-powered software products that elevate how organizations work. We value clean architecture, intuitive user experiences, and a culture of continuous improvement. Every engineer here plays a key role in shaping the quality and reliability of our products.
As part of the Persistence organization, you'll be building the backbone of the ServiceNow AI Platform - the system that powers reliability, scale, and intelligent transformation. You will help:

Innovate to bring better (quality, performant, scalable, secure) access to our data platform that internal and external customers build upon
Push IO, transaction, and concurrency limits across relational, time-series, and columnar stores
Innovate to bring more capability to developers and automation to end customers

About the Team
The Data Access team is responsible for translating customers' data requests from the ServiceNow platform and accurately querying the database using our home-grown SQL generation engine. This team is responsible for SQL generation into Trino, PostgreSQL, MariaDB, and Oracle databases, as well as table management and database metadata.
As a Staff Software Engineer on the Data Platform team, you will be a key technical contributor within the Platform Persistence group, providing technical direction for your team's projects and helping raise the bar for engineering craftsmanship.

What you get to do in this role:

You'll work on top of core data architecture that touches every part of our product, ensuring our systems maintain quality, reliability, security and performance.

  • Be a master at managing and enhancing a complex codebase with quality and speed
  • Deliver projects on time and with quality, with other engineers in tow
  • Set technical direction for key initiatives within the Data Access team, ensuring scalability and maintainability
  • Collaborate with product managers to translate requirements into well-architected solutions, owning features from design through delivery
  • Drive design and code reviews, championing best practices in performance, maintainability, and testability
  • Develop and advocate for comprehensive test strategies covering functional, regression, integration, and performance aspects
  • Contribute to a culture of continuous learning and engineering excellence, sharing best practices in engineering and quality with the team
  • Having aptitude for learning new technologies quickly
  • Developing platform technologies at scale
  • Relational Database Experience: Developing on, troubleshooting, and optimizing performance
  • Mentor junior and senior engineers to help them thrive in a complex codebase

Qualifications

To be successful in this role you have:

  • 8+ years of software development experience with a Bachelor's degree; OR 6+ years with a Master's degree; OR 3+ years with a PhD; OR equivalent work experience.
  • Experience leveraging critical thinking about how to integrate AI into work processes, decision-making, or problem-solving - including AI-powered tools, automating workflows, or analyzing AI-driven insights
  • Expert level skills with core Java development
  • Advanced level of backend platform development
  • Expert level understanding of best practices for object-oriented and modularized software, with emphasis on Java
  • Knowledge and/or experience with relational databases: PostgreSQL, Oracle, MySQL, MariaDB, MS SQL Server, Trino, etc.
  • Strong knowledge of data structures, algorithms, object-oriented design, design patterns, and performance optimization at scale
  • Experience with automated testing frameworks (e.g., JUnit, Selenium, TestNG) and integrating tests into CI/CD pipelines
  • Understanding of software quality principles including reliability, observability, and production readiness
  • Good understanding of cloud-based and distributed systems
  • Aptitude for learning new technologies quickly
  • Demonstrated success completing complex projects, on time and with quality
  • Experience with troubleshooting difficult production issues e.g., memory leaks, concurrency issues, locking issues, network problems, intermittent failures etc. across the stack
  • Track record of technical leadership - influencing architecture and engineering decisions within the team and with close collaborators
  • Strong written and verbal communication skills, including experience authoring design docs and presenting technical approaches to the team

Nice to have:

  • Familiarity with ServiceNow platform is a plus
  • Familiarity with RDBMS internals
  • Passionate about database technologies
  • Experience with Unix shell
  • Experience working in a DevOps environment
  • Experience working in a customer focused environment

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.

Additional Information

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity,  veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.  

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. 

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. 

From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Similar Jobs at ServiceNow

3 Hours Ago
Hybrid
221K-387K Annually
Expert/Leader
221K-387K Annually
Expert/Leader
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Leads ServiceNow’s Data and Storage Reliability Engineering organization, managing globally distributed teams and driving reliability, observability, performance, scalability, resilience, diagnostics, automation, and prevention engineering. Establishes operating models, governance, metrics, and review processes; translates production telemetry, incidents, migrations, and customer escalations into strategic engineering investments. Partners with product, infrastructure, database, storage, operations, and support teams to influence architecture, prioritize reliability roadmaps, reduce systemic risk, and improve customer outcomes.
Top Skills: Ai-Powered ToolsLinuxMariadbMySQLOraclePostgresServicenowSQL Server
5 Hours Ago
Hybrid
264K-449K Annually
Expert/Leader
264K-449K Annually
Expert/Leader
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Leads the marketing operating model and Office of the CMO, connecting strategy, planning, budgets, performance metrics, and execution to business outcomes. Drives marketing transformation, AI adoption and governance, cross-functional alignment, major initiatives, M&A integration, and enterprise representation. Builds accountability, operational discipline, and a high-performing global marketing organization while partnering with Sales, Finance, IT, Product, and HR.
Top Skills: Artificial Intelligence (Ai)
Yesterday
Hybrid
Senior level
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Build and operate reliable production systems for machine learning models, agentic workflows, and self-learning capabilities. Responsibilities include ML lifecycle automation, continuous delivery, safe deployments, feedback loops, observability, SLOs, distributed workload optimization, incident response, platform automation, and cloud infrastructure standards. The role provides staff-level technical leadership across ML, data, product, and platform engineering teams.
Top Skills: C++Ci/CdCloud InfrastructureContainersDistributed SystemsGoGpu ComputingInfrastructure As CodeJavaKubernetesMachine Learning OperationsObservabilityPythonRustSlis/Slos

What you need to know about the Charlotte Tech Scene

Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.

Key Facts About Charlotte Tech

  • Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
  • Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
  • Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
  • Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account