PMTS Performance Engineer - AI Platform

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About Salesforce

We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place.

Role Description

The AI platform Perf Scale CTS team is currently seeking a Performance Engineer. If you're fired up about software performance, automating everything, and working with great engineers, this is the job for you! If you are a developer who is passionate about performance, or a performance tester who is also interested in contributing to performance improvements, we would love to hear from you.

Salesforce, the Customer Success Platform and the world's #1 CRM empowers companies to connect with their customers in a whole new way. We are the fastest growing of the top 10 enterprise software companies, the World's Most Innovative Company according to Forbes, and one of Fortune's 100 Best Companies to Work For fourteen years in a row. The growth, innovation, and Aloha spirit of Salesforce are driven by our incredible employees who thrive on delivering success for our customers while also finding time to give back through our 1/1/1 model, which leverages 1% of our time, equity, and product to improve communities around the world. Salesforce is a team sport, and we play to win. Join us!

Come and be a part of our AI Platform Performance Engineering team, where you can specialize in Salesforce's AI Platform! As part of the Salesforce Gen-AI initiative, you will help our customers make the most of AgentForce with state-of-the-art AI technology using Large Language, Toxicity, and PII models while collaborating closely with the team and cloud to implement performance and scale initiatives to support our ambitious plans for massive growth this year. Our team is known for being highly technical, friendly, and exceptionally collaborative. Join us for an exciting and rewarding experience!

Our primary focus involves benchmarking the performance and scale of AI Platform, Gen AI models, CTS, and performance optimizations. You will have the opportunity to design performance experiments, and collect and analyze data. Develop power tools and automation frameworks for continuous integration, performance measurement and analysis. Contribute to the design and velocity of our global products. Optimize our systems end-to-end by advising infrastructure design, server and application development/tuning, solving complex cluster architecture and data storage challenges that impact features within Artificial Intelligence, Platforms, API's and mobile UI experiences.

Responsibilities

The candidate must have the technical prowess to write fast and efficient code, find inefficiencies and influence others to make performance improvements. In addition, this engineer needs to measure and demonstrate performance gains in a scientific way, by building/running workloads or simulations.
You are the performance expert for your scrum team or for a larger program, and should own your team's performance related problems on production.

• Contribute to the team by applying modern technologies, design patterns, and Engineering Best Practices to deliver new projects for your team.

• Lead by example in continuously improving both the quality and productivity of your team's deliverables

• Apply knowledge of system health, customer usage, and scalability, and how those nonfunctional requirements interact with upward and downward dependencies

• Own all aspects of the features that your team delivers from requirements analysis, design, and coding to testing and production support

• Provide technical coaching to team members to help improve their overall skills and knowledge, primarily by using techniques such as pair-programming and reviews

• Work with engineers on the design, deployment and continuous improvement of performance, scalability, and reliability tests

• Design, develop, and maintain key software automation components

• Continuously raise our standard of engineering excellence by implementing best practices for coding, testing, and deployment

• Automate, optimize and drive efficiency of effort, code, and process

• Resolve complex technical issues and drive innovations that improve system availability, resilience and performance

• Create, maintain, and share technical documentation used by engineers and other team members

Required skills

• A related 4-year technical degree required.

• 8+ years of software engineering experience

• 8+ years design and implementation experience of large infrastructure projects with multiple teams

• Familiar with AI/LLM Models and GPU's

• Expertise in public cloud computing architecture (ex. AWS, GCP, etc.)

• Hands-on experience with mentoring and coaching team members to improve their technical skillsets

• Experience leading technical deliveries through all phases of the development life cycle-from code to test to production

• Programming skills in either Java, Javascript, Python or other object-oriented languages

• Ability to work cross-functionally to articulate, measure, and solve performance issues

• Hands-on experience with performance measurement, evaluation, and optimization

• Passion for continuous improvement and learning new technologies

• Experience with CI/CD and micro service platforms

• Experience with monitoring, alerts, and logging and troubleshooting technical problems

• Ability to communicate as an expert clearly and effectively that results in impact to other development teams

• Flexibility to adjust to changing/multiple priorities and technologies

Desired skills

• Java / Python / Javascript

• AI/LLM models and GPU architecture.

• Knowledge of database/datalake performance fundamentals: SQL, schema, internals

• Experience working with Splunk, Graffana, APM tools

• Experience in industry-standard performance tools (ex. k6, JMeter, Locust)

• Experience evaluating and interpreting large volumes of production data using Splunk (or other equivalent tools) to evaluate throughput, latency, memory and CPU utilization

• Understanding of back-end systems and API's, developer tools.

• Knowledge in automated deployment and configuration updates using Docker, Spinnaker, Jenkins, Kubernetes

Accommodations

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Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.

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