# Software Engineering LMTS at Salesforce

Salesforce is hiring a Software Engineering LMTS in San Francisco, United States. It pays $149k-$260k a year and Level rates it Little AI ●○○○; you can [apply on Salesforce](https://jobsbylevel.com/go/e146b71d-8461-4f3d-9ad8-fbb0a7241b59?utm_medium=ai-agent).

AI Level 1, AI centrality 31 out of 100. California - San Francisco.

## Details

- Company: [Salesforce](https://jobsbylevel.com/companies/salesforce)
- AI level: AI Level 1 (score 31 out of 100)
- Location: California - San Francisco
- Salary: $149k-$260k
- Posted: October 20, 2026
- Apply: https://jobsbylevel.com/go/e146b71d-8461-4f3d-9ad8-fbb0a7241b59?utm_medium=ai-agent

## Description

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. Senior/Lead Performance Engineer, Distributed Database Systems The Experience Do you specialize in systems performance? Do you love working with data and automation? Want to be part of something big? Help build the distributed database technology that powers the growth of the Salesforce Platform worldwide. SalesforceDB is the transactional database behind Salesforce CRM. It runs more than 1.1 trillion transactions per month on thousands of database instances. The Salesforce Database team is fast-paced and collaborative. We work across all areas of our distributed transactional database technology stack. We are seeking performance engineers to deliver the tools, analysis, and optimizations that take SalesforceDB to new levels of performance and scalability with every release. Our performance engineers partner closely with database and storage system developers, application performance engineers, infrastructure engineers, and our analytics team. Together, we deliver all the pieces that add up to high performance in production at scale. Your improvements ship across the whole production fleet every release. Some of our work is published at database research conferences such as CIDR. We are a high-performing team with high standards. We value integrity, rigor, and continuous learning. What You'll Do • Drive the design and scalability of our database stack with development teams, from research and conception through delivery in production. • Find optimization opportunities by profiling the database engine and storage service. Help us meet the performance and scale needs of our largest customers and newly onboarded applications. • Identify the root cause of performance and scalability problems. Then fix them yourself or drive the fix with the owning team. • Lead benchmarking and modeling that guide hardware selection and capacity planning for the fleet. • Build the telemetry, dashboards, and analysis that show how the production fleet performs against its targets. • Own performance qualification of SalesforceDB releases. Build and run the workloads and benchmarks that decide whether a release goes to production. You May Be a Great Fit If You Hav e • A related technical degree, or equivalent experience. • 5+ years of performance engineering on systems software, ideally databases, storage, or distributed systems. • Strong computer science fundamentals: data structures, algorithms, concurrency, and memory management. • Strong coding skills in Java or C/C++. • Practical experience with load, benchmark, and regression testing, ideally for multi-tenant workloads at scale. • A track record of root cause analysis for performance and scalability problems in complex distributed systems. • Strong SQL and performance data analysis skills (CPU, latency, throughput, per-tenant resource use). • Experience with telemetry, dashboards, and monitoring against performance targets. • Fluency with Linux, OS internals, and shell/Python scripting. • Clear communication and collaboration skills across database, storage, infrastructure, application performance, and analytics teams. • Integrity and a growth mindset: you report what the data shows,

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/software-engineering-lmts-at-salesforce-cbb5f5

Source: https://jobsbylevel.com/jobs/software-engineering-lmts-at-salesforce-cbb5f5

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