Software Engineering MTS

Salesforce•San Francisco, CA

6d•Hybrid

About The Position

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Agentforce is the future of AI, and you are the future of Salesforce. The Core Query Services (CQS) team builds the query infrastructure that powers Salesforce's multi-tenant platform. Our systems sit on the critical path of every Salesforce application and influence 250B+ database queries every day 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. Operating a multi-tenant database platform at Salesforce scale presents problems that traditional relational databases were never designed to solve. The underlying database optimizer does not inherently understand Salesforce concepts such as tenant-specific schemas, sharing and visibility models, custom metadata, per-tenant data distributions, or application-level access patterns. Our team builds the intelligence that bridges that gap — dynamic query generation, cost-based optimization, statistics and cardinality intelligence, plan management, indexing strategy, performance diagnostics, and automated detection and remediation of query regressions.

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

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

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.