Performance Engineer MTS / SMTS

Salesforce•San Francisco, CA

About The Position

As a Performance Engineer at Salesforce Performance Team, you will play a crucial role in building innovative software that enhances engineer productivity and identifies software performance bottlenecks and regressions through cutting-edge simulations and monitoring. You will be challenged with diving deep into large-scale applications spanning diverse technology stacks, including mobile, browsers, systems, and storage. Your impact will be felt in delivering real-time business intelligence, enabling faster data-driven decisions through your expertise in scalability and latency needs. As a member of the performance engineering team, you will be responsible for tackling performance analysis and code optimization challenges across multi-tiers and multi-data centers.

Requirements

3-7 years of experience in a performance engineering role, analyzing, solving, and automating performance workloads on large-scale systems.
Experience in a performance engineering role, analyzing, solving, and automating performance workloads on large-scale systems.
Experience as a developer building platforms and applications.
Experience in building automation tools.
Coding experience in Java, C, Python, Ruby on Rails and knowledge of modular design.
Deep knowledge of Java and its internals, including JVM performance tuning, GC mechanisms, and familiarity with Java Profiling (e.g., JProfiler, YourKit).
Expert-level understanding of key performance metrics associated with throughput, latency, memory, CPU, disk & network, and the ability to debug bottlenecks associated with any of them.
Familiarity with NoSQL data stores and transport systems such as Spark, Storm, Cassandra, Kafka is a plus.
Hands-on experience in open source load test tools
Degree or equivalent relevant experience required.
Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)

Nice To Haves

Strong knowledge of Salesforce product and platform features, capabilities, and best use of it
Regular use of AI tools for automation and performance work.
A good understanding of enterprise architecture principles is strongly preferred
Ability to quickly grasp and distinctly explain technological and business concepts
Serve as a trusted advisor, with a deep curiosity to understand your customers, their motivations and needs, and how to approach ensuring their success

Responsibilities

End-to-End Performance Analysis: Analyzing large scale distributed environments to optimize application performance bottlenecks in our application stack.
Coding and Developing Skills: Developing and debugging code to identify and fix performance issues.
UI/Mobile Performance Scalability: Enhancing user experience by measuring and optimizing the user interface across mobile and other devices.
Evangelizing Performance: Taking ownership and driving performance initiatives throughout the engineering team and across the industry.
Automation Tools for Performance: Designing and building efficient processes and automation to repeat tests for every build and detect regressions on production pods.