S
ServiceNow
Senior Staff Data Platform Engineer (Data Access Team)
Skills
SQL QueriesJavaPostgreSQLMySQLNeo4jSeleniumAINo-code AutomationsOracleServiceNow
13 days ago
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Important information
Contract type:
Permanent
Salary:
$201,300 – $352,300 / year
Location:
United States
Work mode:
Hybrid
Published on:
10 October 2026
What they need
- Every workflow, AI agent, and application on the ServiceNow AI Platform depends on one thing: getting the right data, fast, correctly, and securely. As part of the Persistence organization, you’ll build the layer that makes that possible, the foundation under a platform that 85% of the Fortune 500 runs their business on
- Give developers and customers faster, more reliable, more secure access to the data platform they build on
- Push the limits of IO, transactions, and concurrency across relational, time-series, and columnar engines
- Turn hard infrastructure problems into simple capabilities and automation for the developers and customers who build on the platform
- The Data Access team owns the ServiceNow ORM and data access layer
- We take the platform’s logical object model and translate every data request into high-performance queries against many database engines, including our homegrown RaptorDB (PostgreSQL), MariaDB, Oracle, and Trino, graph databases, and time-series databases
- Our home-grown SQL generation engine, table management, and database metadata services are what let application developers build powerful applications across industries without ever having to manage engine complexity
- That makes us one of the most leveraged teams in the company. A single improvement to our engine speeds up thousands of applications and millions of queries, and getting it wrong is not an option
- As a Senior Staff Software Engineer, you’ll be a key technical leader in the Platform Persistence group. You’ll set the architectural direction for the data access layer as it expands into new engines and AI-driven workloads, and raise the bar for engineering craftsmanship across the organization
- Set the technical direction and architecture strategy for the data access layer, balancing long-term scalability with delivery
- Work on core data architecture that touches every part of the product, keeping it high-quality, reliable, secure, and fast
- Own features from design through delivery, turning business requirements into well-architected, cross-team solutions
- Lead design and code reviews, championing performance, maintainability, and testability across multiple teams
- Define comprehensive test strategies covering functional, regression, integration, and performance testing
- Diagnose and resolve the hardest production issues across the stack
- Mentor engineers at every level and raise the technical bar across the organization
Benefits
- Generous family leave
- Matched donations
- Annual learning stipends
- Flexible PTO
- Competitive retirement plan
- Paid volunteer time- Experience leveraging or critically thinking about how to integrate AI into engineering work — whether using AI-powered coding and operational tooling, automating workflows, or reasoning about how AI changes the way software and infrastructure are built
- Deep understanding of software quality principles including reliability, observability, and production readiness
- Knowledge and/or experience with relational databases: PostgreSQL, Oracle, MySQL, Trino, etc
- Strong knowledge of data structures, algorithms, object-oriented design, design patterns, and performance optimization at scale
- Expert level understanding of best practices for object-oriented and modularized software, with emphasis on Java
- A demonstrated track record of technical leadership at a Staff or Senior Staff level (or equivalent)
- Experience with automated testing frameworks (e.g., JUnit, Selenium, TestNG) and integrating tests into CI/CD pipelines
- Expert level with core Java development
- Advanced-Expert level of backend platform development
- 12+ years of software development experience with a Bachelor’s degree; OR 8+ years with a Master’s degree; OR 5+ years with a PhD; OR equivalent work experience
- Good understanding of cloud-based and distributed systems
- Familiarity with ServiceNow platform is a plus
- Familiarity with Neo4J and graph databases
- Familiarity with RDBMS internals
- Experience with Unix shell
- Passionate about database technologies
- Experience working in a DevOps environment
- Experience working in a customer focused environment
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