Software Engineering Member of Technical Staff, Salesforce

• You enjoy problems where databases, algorithms, distributed systems, and production software intersect. You dig deep into complex systems, form hypotheses from data, and design solutions that address root causes — not symptoms
• You care about high-quality software and about the operational discipline required to run it safely at massive scale: reliability, observability, incremental rollout, and clear ownership
• You thrive with significant autonomy and expect to influence both technical direction and execution
• 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

Desirable

• Salesforce's 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
• If you enjoy solving technically deep problems where small improvements have outsized impact, we'd love to talk
• 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