Salesforce is hiring a Software Engineering LMTS to lead the design and implementation of complex database features and distributed systems for our core database infrastructure. You will focus on transaction management, DDL/DML operations at extreme scale, and building resilient, highly available services.

What You'll Do

Lead design and hands-on implementation of complex database features with focus on advanced transaction management for performance, scalability, consistency, and reliability.
Solve challenges with Data Definition Language (DDL) operations, overseeing schema evolution and versioning across distributed databases.
Pioneer and optimize Data Manipulation Language (DML) operations at extreme scale, developing patterns for data integrity and consistency.
Develop robust solutions for schema evolution and data migration, managing complex DDL changes across geographically dispersed systems.
Build Database services on AWS, GCP, or other public cloud substrates.
Participate in the team’s on-call rotation to address complicated problems in real-time and keep services operational.
Provide technical leadership and mentorship to a team of software engineers in distributed database technologies.
Conduct rigorous code reviews, provide feedback, and enforce adherence to coding standards and architectural principles.
Troubleshoot and resolve complex database-related issues in demanding production environments.
Contribute strategically to the roadmap for core database technologies and related frameworks.

What We're Looking For

BS or higher degree in Computer Science or related field.
4+ years of progressive experience in software development with focus on large-scale, database-intensive, and highly distributed applications.
Strong CS fundamentals including data structures, algorithms, and distributed systems.
Mastery of database transaction management concepts (concurrency control, isolation levels, distributed transactions).
Extensive hands-on experience with Data Definition Language (DDL) for schema design, evolution, versioning, and migration in distributed environments.
Proficiency in Data Manipulation Language (DML) for high-volume data operations, optimization, query tuning, and performance analysis.
Strong programming skills in at least one relevant language (e.g., Java, Python, C++) with focus on systems-level programming for database interactions.

Nice to Have

MS or PhD in databases or distributed systems.
PostgreSQL software development experience and community involvement as a contributor.
Experience with operational challenges and lifecycle management of large-scale distributed database systems.
Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) in a database-centric context.
Knowledge of advanced database performance tuning, monitoring tools, and observability patterns for distributed database systems.
Experience with database-as-a-service platforms and understanding of their underlying distributed architecture.

Technical Stack

PostgreSQL, AWS, GCP, Kubernetes, Puppet, Docker, Spinnaker, Terraform, Jenkins, Git, Java, Python, C++

Benefits & Compensation

Compensation: For Washington-based roles: $157,600 to $253,000. For California-based roles: $172,000 to $276,100.
Time off programs
Medical, dental, vision insurance
Mental health support
Paid parental leave
Life and disability insurance
401(k)
Employee stock purchasing program