Jobs / United States / Salesforce INC
Software Engineering MTS
Salesforce INC · 🇺🇸 3 Locations
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. The Experience: The Network Visibility and Telemetry team is responsible for designing, building, and operating a set of systems and services which deliver metrics, telemetry and alerting for data center infrastructure (network, storage, etc). We are part of the Infrastructure Strategy Datacenter Operations organization, which is a dynamic, global team delivering and supporting technology infrastructure to meet the substantial growth needs of the business. What You'll Actually Be Doing: In this role, you will leverage your experience in building and deploying large-scale systems to automate systems services across all types of infrastructure (storage, network, server), enable the collection of infrastructure telemetry, make the infrastructure visible and accessible, and ensure that alerts are generated where action is needed. • Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code. • Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale. • Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance • Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably. This position entails participation in an on-call rotation. You're Our Person If You Have: • At least 4 years of experience with supporting a codebase for distributed services implemented in modern programming languages (e.g. Clojure, Java, JavaScript, Python). • Experience with automation of systems services and processes. • Excellent analytical and problem-solving skills • A long-standing practice of using Source Control (e.g. git) and unit testing • Experience in publishing and consuming REST APIs • CI/CD experience with Jenkins • Knowledge of Linux (RedHat) including configuration, packages, services, daemons, shells, and troubleshooting. • Experience with configuration automation tools such as Ansible, Puppet, and/or Chef. • Experience in fast-paced, technical environments experiencing rapid growth and change • Ability to adapt, to be flexible, and to learn quickly in a dynamic environment • Excellent organizational skills including ability to prioritize tasks efficiently with high level of attention to detail • Ability to work under tight deadlines while coordinating several projects at a time and responding to changing business and technical conditions • A demonstrated, genuine AI-first approach to engineering. Using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty. • Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, et