Software Engineering MTS

About the role

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. The Core Query Scale Engineer role sits within Core Query Services (CQS), building the query infrastructure that powers Salesforce’s multi-tenant platform. Our systems influence 250B+ database queries daily across globally distributed infrastructure. A 1% improvement in CPU, latency, or plan quality translates into meaningful savings and better customer experience at a scale few engineering organizations ever encounter.

Responsibilities

• Design and build query infrastructure that operates safely across massive, diverse multi-tenant workloads — from architecture through implementation, rollout, and long-term operation.
• Develop algorithms and systems for query generation, planning, indexing, statistics, and execution that improve performance, scalability, and resource efficiency.
• Analyze production telemetry at scale to identify performance patterns, regressions, and systemic improvement opportunities — then turn those insights into durable platform features.
• Build observability, diagnostics, and automation that make complex database performance problems easier to detect, understand, and resolve — including AI-assisted tooling for engineers and operators.
• Ship with production discipline: feature configs, staggered rollouts, A/B validation, and system monitoring. The org holds a zero-regression bar, and every engineer owns it.
• Own SLA/SLO and on-call rotations for the systems you build, and investigate cross-stack production issues spanning application logic, query generation, database behavior, and infrastructure.
• Partner across teams — database, runtime, platform, and application — to solve performance and scalability problems that span the stack, and contribute to the technical direction of Salesforce’s next generation of query infrastructure.

Requirements

• Strong software engineering experience in Java or another modern object-oriented language.
• Strong understanding of relational databases and SQL, and comfort reasoning about query behavior.
• Solid foundation in data structures, algorithms, and complexity analysis.
• Experience designing or operating high-scale, performance-sensitive production systems.
• Ability to debug complex problems across multiple layers of a software stack using metrics, profiling, telemetry, and experimentation.
• Ability to design solutions that can be delivered safely and incrementally in large-scale production.
• Strong written and verbal communication skills — you can explain complex technical concepts clearly and influence decisions across teams.
• High ownership, quick learning, and comfort operating in a dynamic engineering environment.

Qualifications

• Experience in one or more of the following is highly desirable:
  • Query optimizer internals and cost-based optimization
  • Indexing and physical database design
  • Multi-tenant SaaS platforms operating at large scale
  • Query plan management — hinting, plan stability, plan search

Salesforce offers a variety of benefits to help you live well including time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at https://www.salesforcebenefits.com.

The typical base salary range for this position is $117,200 – $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $41,200 – $246,000 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.