Jobs / United States / Servicenow INC
Sr Software Engineer
Servicenow INC · 🇺🇸 San Diego, 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
About the team The Security and Risk Engineering organization builds scalable, AI-powered security solutions that reduce risk and protect ServiceNow and its customers. We value AI-first thinking, clean architecture, intuitive experiences, and a culture of continuous learning. This is a zero-to-one incubation. We’re building a new class of exposure analysis that ranks security work by exploitability—where an attacker could realistically get in—rather than raw severity. The architecture is evolving, and this role helps define what good looks like. The role As a Senior ML Engineer, you build core components of a novel exploitability engine—shipping production ML that turns raw security signal into ranked, reachable attack paths. You take well-scoped problems from design to production and grow into deeper ownership as the system matures. What you’ll own • Well-scoped components of the engine—evidence ingestion and connectors, entity resolution, graph construction, or parts of the probability core—built to production quality. • The correctness and reliability of what you ship: tests, evaluation, observability, and the metrics that show your component works. • Turning ambiguous requirements into working code, with guidance on the calls that shape the wider system. • The data and model plumbing that keeps the graph accurate—entity-resolution quality, evidence provenance, and decay. What you’ll do • Design, build, test, and operate production ML components with strong engineering fundamentals. • Contribute to design and code reviews, and help raise the quality bar on the team. • Prototype quickly to evaluate new AI capabilities against real cybersecurity problems. • Partner with product, security R&D, and SecOps to understand the problem behind the ticket. • Apply AI safety, security, and guardrail practices to what you build. What you bring • Solid software engineering fundamentals and experience operating production-quality software. • Hands-on experience building ML- or LLM-powered applications—RAG, embeddings, agents, or probabilistic or ML-driven scoring. • Experience taking a prototype to a reliable, maintainable production solution. • Working knowledge of distributed systems, APIs, cloud-native development, and data or graph systems. • Strong Python, and/or Java, Go, or TypeScript. • Interest in security problems—vulnerability management, identity security, threat detection, or risk prioritization. • Experience with AI-assisted development tools and coding agents such as Claude Code, Codex, Cursor, or Windsurf is a plus. • Experience with AI evaluation, safety, or guardrails is a plus. • 3+ years of software engineering experience, or equivalent practical experience. • Experience designing and delivering production software systems. • Experience building or integrating AI/ML-powered applications in a production or near-production environment. • Modern AI experience: LLMs, RAG, embeddings, vector search, agentic workflows, model evaluation, or AI observability. • Strong programming experience in Python and/or Java, Go, or a similar language. • Cloud-native technologies, distributed systems, APIs, databases, and scalable architectures. • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical discipline, or equivalent practical experience. • Cybersecurity or security-product experience is a plus. For positions in this location, we offer a base pay of $128,900 - $219,100 , 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 individu