Software Engineering SMTS

Salesforce•San Francisco, CA

3d•$172,500 - $285,800

About The Position

Salesforce is hiring Database Distributed Systems Software Engineers to develop highly concurrent, distributed systems that support the company’s growth. The role focuses on database internals, systems programming, and software engineering. The engineer will design and build scalable, resilient software products and own work from architecture and design through implementation, monitoring, testing, and product support for large, mission-critical systems. The work will help shape Salesforce’s database infrastructure and future.

Requirements

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, such as Java, Python, or PL/SQL, with a focus on systems-level programming for database interactions.

Nice To Haves

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 such as AWS, Azure, or GCP and containerization such as Docker or Kubernetes in production, database-focused settings.
Knowledge of database performance tuning, monitoring tools, and observability patterns for distributed database systems.
Experience with database-as-a-service platforms and their underlying distributed architecture.

Responsibilities

Lead the design and implementation of complex database features, focusing on advanced transaction management for 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 while maintaining consistency and minimizing disruption in highly concurrent environments.
Optimize database operations at very large scale and develop patterns for data integrity, consistency, and efficient data manipulation across distributed datasets.
Build database services on AWS, GCP, or other public cloud platforms.
Participate in the team’s on-call rotation to resolve complex problems and maintain service availability.
Troubleshoot and resolve complex database issues in production environments, enabling fast recovery and minimal disruption.
Contribute to the roadmap for core database technologies and frameworks and influence future architectural decisions.
Own work from architecture and design through implementation, monitoring, testing, and product support for large, mission-critical systems.