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Software Engineering SMTS

Job in Stockton, San Joaquin County, California, 95201, USA
Listing for: Salesforce, Inc.
Full Time position
Listed on 2026-10-30
Job specializations:
  • Software Development
    Cloud Engineer - Software, Backend Developer, Software Engineer, Database Engineering
Salary/Wage Range or Industry Benchmark: 173000 - 260000 USD Yearly USD 173000.00 260000.00 YEAR
Job Description & How to Apply Below
Software Engineering SMTS### Software Engineering SMTSApply:
Office Tech-Flexible:
California
- San Francisco:
Washington
- Bellevue:
Full time:
Posted Today:
JR364968
* 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  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…
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