Jobs / United States / Salesforce INC
Software Engineering MTS
Salesforce INC · 🇺🇸 California - San Francisco
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 1,544 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 498 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 Salesforce INC paid sponsored hires in similar roles69 certified filings for “Software Engineering MTS” (Software Quality Assurance Analysts and Testers) in CA: $147k–$191k, median $168k. Most were filed at wage level III (39%) — 3 lottery entries, ≈46% 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 — Salesforce INC
The US Department of Labor certified 1,544 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 498 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 Salesforce INC →
About the role
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. About the Team GUS is Salesforce's internal grand-unified system for agile work tracking — the platform thousands of Salesforce engineers use every day to plan, build, and ship. Built on the Core Platform, GUS combines agile tooling, planning, and reporting into a single system of record for engineering execution. Our team owns the backend services, platform integrations, and increasingly the AI-assisted developer tooling that make GUS fast, reliable, and intelligent. As a member of the GUS engineering team, you will design and build backend services for our agile tooling, integrate GUS with the broader Salesforce ecosystem, and help pioneer AI-assisted developer workflows that raise the productivity of every engineer at the company. At Salesforce, we strive every day to earn customer trust by making our platform always fast, always secure (see trust.salesforce.com). Responsibilities: -Design, build, and operate backend services powering GUS agile tooling — work items, planning, sprints, and reporting. -Build and maintain platform integrations connecting GUS with other Salesforce systems, APIs, and data pipelines. -Develop AI-assisted developer tooling — agents, automation, and intelligent workflows — that improve how engineers interact with GUS. -Own features end to end: design, implementation, testing, deployment, and production operation. -Write high-quality, well-tested, maintainable code and raise the quality bar through code review. -Partner with product managers, designers, and engineers across teams to translate requirements into reliable, scalable solutions. -Diagnose and resolve production issues, root-cause them, and drive action plans that prevent recurrence. -Mentor engineers, share knowledge, and contribute to the team's technical direction and standards. Required Qualifications: -BS or MS in Computer Science or equivalent practical experience. 3–5 years of professional software engineering experience building and operating production services at scale. -Strong proficiency in a modern backend language (Java, Apex, or equivalent) and experience with large, complex codebases. -Experience designing and consuming APIs and building integrations between systems. -Solid grounding in data modeling, relational databases, and distributed-systems fundamentals. -Demonstrated ability to own features end to end and deliver high-quality code in a fast-paced, agile environment. -Strong analytical, troubleshooting, and communication skills. Desired Skills: -Experience with AI-assisted development tooling — LLM-backed agents, coding assistants, or automation — and a point of view on applying them to real engineering workflows. -Experience building on or extending the Salesforce Platform (Apex, LWC, platform APIs). -Familiarity with agile tooling and engineering-productivity systems. -Experience with cloud-native technologies (Docker, Kubernetes) and CI/CD pipelines. -Experience with observability and performance tooling