Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
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.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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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.
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✓
What Servicenow INC paid sponsored hires in similar roles3 certified filings for “Sr Tech Cons (AI), Platform Products Expert Implementation” (Software Developers) in MA: $126k–$178k, median $155k.
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✓
Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- 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. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-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 roles
- 3 certified filings for “Sr Tech Cons (AI), Platform Products Expert Implementation” (Software Developers) in MA: $126k–$178k, median $155k. Most were filed at wage level III (50%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
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.
About the role
What You Get to Do
Join a team shaping the future of AI-native software development at ServiceNow. Our mission is to build the platforms, frameworks, and developer experiences that enable engineering teams to create, modernize, and operate applications in an AI-first world.As a Staff Software Engineer, you will design and develop scalable platform capabilities that improve developer productivity, accelerate application delivery, and bring AI-powered workflows directly into the software development lifecycle.
You will work across backend services, developer tooling, and modern web technologies to create reusable solutions that can be adopted across engineering organizations.
Responsibilities
• Design, develop, and deliver high-quality, scalable, and maintainable software using industry best practices for architecture, code quality, testing, and operational excellence.
• Build AI-native developer experiences that help engineers create, test, deploy, and operate applications more efficiently.
• Partner closely with product managers, architects, and engineering teams to understand requirements and drive solutions from concept through production.
• Design and develop reusable platform services, APIs, and frameworks that can be leveraged across multiple engineering organizations.
• Leverage AI technologies to streamline software development workflows, automate repetitive tasks, and improve developer productivity.
• Build modern, responsive user experiences using contemporary frontend frameworks.
• Act as a technical leader by driving architecture discussions, mentoring engineers, and influencing engineering best practices.
• Continuously improve platform reliability, scalability, performance, and observability.
• Evaluate and adopt emerging AI technologies, tools, and development patterns that enhance engineering effectiveness.
To Be Successful in This Role, You Have
• Passion for applying AI to solve real-world developer productivity and software engineering challenges.
• Deep expertise in Java and modern backend development.
• Strong experience building scalable distributed systems and enterprise-grade applications.
• Experience with JavaScript/TypeScript and modern frontend frameworks such as React.
• Strong understanding of data structures, algorithms, object-oriented design, design patterns, and performance optimization.
• Experience designing and consuming RESTful APIs and microservices architectures.
• Experience building cloud-native applications and services.
• Strong analytical, problem-solving, and system design skills.
• Proven ability to operate effectively in complex, highly collaborative engineering environments.
• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving.This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
• 10+ years of professional software engineering experience.
• Strong proficiency with:
• Java
• JavaScript / TypeScript
• Node.js
• React
• REST APIs
• Distributed Systems
• Cloud Platforms (AWS, Azure, or GCP)
• Container Technologies (Docker, Kubernetes)
• Experience with developer productivity platforms, internal developer portals, SDLC tooling, CI/CD systems, or platform engineering initiatives.
• Hands-on experience using AI-powered development tools such as Cursor, Windsurf, GitHub Copilot, Claude Code, or similar technologies.
• Experience integrating GenAI, AI agents, MCP, LLM-powered workflows, or AI-assisted automation into engineering solutions.
• Experience improving engineering efficiency through automation and AI-driven workflows.
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