Jobs / United States / Salesforce INC

Salesforce INC

Software Engineering SMTS

2 Locations Posted today

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Skills this job asks for

SalesforceCRMCustomer successSQLAWSGoogle CloudProduct managementJavaPythonPostgreSQLAzureDocker

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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.
  • 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.
  • What Salesforce INC paid sponsored hires in similar roles472 certified filings for “Software Engineering SMTS” (Software Developers) in CA: $193k–$246k, median $216k.
  • 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 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. 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 Salesforce INC paid sponsored hires in similar roles
472 certified filings for “Software Engineering SMTS” (Software Developers) in CA: $193k–$246k, median $216k. Most were filed at wage level III (41%) — 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

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 Data 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. Salesforce is hiring Database Distributed Systems Software Engineers. You will work on highly concurrent, distributed systems that support Salesforce's growth. We're looking for people with a strong background in database internals, systems programming, and software engineering. In this role, you will design and build scalable, resilient software products. You will own work from start to finish, including architecture, design, implementation, monitoring, testing, and product support for large, mission-critical systems. Your work will shape the future of Salesforce. Key Responsibilities • Lead the design and implementation of complex database features. Focus on advanced transaction management that delivers performance, scalability, consistency, and reliability in distributed systems.. • Solve SQL execution challenges to enable transactionally consistent DDL on distributed database systems. Oversee schema evolution and versioning, with consistency and minimal disruption in highly concurrent environments.. • Optimize database operations at very large scale. Develop patterns for data integrity, consistency, and efficient data manipulation across distributed datasets.. • Build database services on AWS, GCP, or other public cloud platforms.. • Take part in the team's on-call rotation to resolve complex problems and keep services available.. • Troubleshoot and resolve complex database issues in demanding production environments, with fast recovery and minimal disruption.. • Contribute to the roadmap for core database technologies and frameworks, and influence future architectural decisions.. Required Qualification s • BS or higher in Computer Science, or equivalent practical experience. • Strong computer science fundamentals, including data structures, algorithms, and distributed systems. • 7+ years of software development experience, with significant focus on large-scale, database-intensive, distributed applications. • Deep knowledge of database transaction management, including concurrency control, isolation levels, and distributed transactions. • Experience designing database applications for high-volume, complex data operations, including query tuning and performance analysis for highly concurrent systems. • Strong programming skills in at least one relevant language (for example, Java, Python, or PL/SQL), with a focus on systems-level programming for database interactions. Preferred Qualification s • MS or PhD in databases or distributed systems. • PostgreSQL development experience, including open-source community contributions. • Experience with the operational challenges and lifecycle management of large-scale distributed database systems. • Familiarity with cloud platforms (for example, AWS, Azure, GCP) and containerization (for example, Docker, Kubernetes) in production, database-focused settings. • Knowledge of database performance tuning, monitoring tools, and observability patterns for distributed database systems. • Experienc

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