Software Engineering MTS

Salesforce•Seattle, WA

8d•$41,200 - $246,000

About The Position

Salesforce is seeking a Software Engineering MTS (Member of Technical Staff) to join the Core Query Services (CQS) team. This team builds the query infrastructure that powers Salesforce's multi-tenant platform, handling over 250 billion database queries daily. The role involves solving complex database scalability and query optimization problems in a multi-tenant environment where traditional relational database optimizers do not inherently understand Salesforce-specific concepts. The team develops intelligence to bridge this gap, including dynamic query generation, cost-based optimization, statistics and cardinality intelligence, plan management, indexing strategy, performance diagnostics, and automated detection and remediation of query regressions. This is an opportunity to work on technically deep problems with significant impact.

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.

Nice To Haves

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
Experience in one or more of the following is highly desirable

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, AB 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.