Jobs / United States / Servicenow INC
Staff Software Engineer - Data Platform - Kubernetes - Distributed Systems - Federal
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 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 Please Note: This position will include supporting our US Regulated Markets. “This position requires passing a ServiceNow background screening, USFedPASS (US Federal Personnel Authorization Screening Standards). This includes a credit check, criminal/misdemeanor check and taking a drug test. Any employment is contingent upon passing the screening. Due to Federal requirements, only US citizens, US naturalized citizens or US Permanent Residents, holding a green card, will be considered. About the team: We are seeking a Staff Software Engineer (IC4 Level) to join our Data Platform Engineering organization. You are a strong hands-on contributor who will own well-scoped components and projects within the team and deliver them end-to-end. What you get to do in this role: • You will design, build, and operate components and services within the cloud-native platform, taking features from design through to production. • You will lead well-scoped projects within your team, turning requirements and rough ideas into solid technical designs and delivering them. • You will collaborate with senior, staff, and principal engineers to align your work with the platform’s architecture and standards. • You will contribute to the reliability, scalability, and operability of what you build — writing tests and instrumentation, improving runbooks, and participating in on-call. • You will spend most of your time hands-on building — operators, controllers, automation, and platform services that other teams depend on. • You will help onboard and mentor junior engineers through code review, design feedback, and pairing. To be successful in this role you have: • 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. • 8+ years of software development experience with a Bachelor's degree; OR 5+ years with a Master's degree; OR 3+ years with a PhD; OR equivalent work experience. • 5+ years of hands-on experience building, deploying and operating workloads on Kubernetes. • Working experience with at least one major hyperscaler (AWS, Azure, GCP), including its core compute, networking, and IAM primitives. • A track record of delivering complex features or services as a key contributor. • Solid working knowledge of containers, CI/CD and GitOps-based delivery, and infrastructure-as-code. • Strong programming skills in Go (or another systems language with a willingness to work primarily in Go). It also helps if you have: • Experience building Kubernetes controllers or working with the operator pattern. • Familiarity with container networking (CNI) or service mesh. • Experience with workload identity, mTLS, or secrets management. • Experience with observability — metrics, tracing, and dashboards. • Experience with managed Kubernetes (EKS/AKS/GKE) and infrastructure-as-code tools such as Terraform. For positions in this location, we offer a base pay of $149,800 - $262,200 , 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 flexib