Jobs / United States / Servicenow INC
Staff Data Platform Software Engineer - Persistence
Servicenow INC · 🇺🇸 Santa Clara, CALIFORNIA, US
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 547 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 185 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Servicenow INC paid sponsored hires in similar roles162 certified filings for “Senior Software Engineer” (Software Developers) in CA: $144k–$204k, median $175k. Most were filed at wage level IV (45%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Servicenow INC
The US Department of Labor certified 547 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 185 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Servicenow INC →
About the 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. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flex