Software Engineering MTS

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Core Query Scale Engineer About the Team Want to work on some of the hardest database scalability and query optimization problems in the industry? 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.

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