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　　Job Category

　　Software Engineering

　　Job Details

　　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.

　　The AI Platform/Einstein Cloud Performance Engineering 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 that is passionate about performance, or a performance tester that is also interested in contributing to performance improvements, we would love to hear from you.

　　Salesforce, the Customer Success Platform and 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 six years running. 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 Einstein GPT 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 Gen AI models, CTS, and performance optimizations. You will have the opportunity to design performance experiments, 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, Platform, 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.

　　Scope performance engineering efforts, prioritize test cases, develop solid project milestonesDesign and run extensive overhead, scalability, stability, and stress tests using industry standard tools and custom solutionsDevelop robust benchmark workloads based on production traffic patterns and anticipated feature usage with varying load levels and working sets for different modelsAnalyze and summarize test results in reports, capacity planning / best practice guides in AI spaceInvestigate and analyze performance in productionDevelop and review test plans, results analysis, capacity planning, CTS guidesAutomate test scenarios using Python or JavaExperience in AWS SpringBoot, JMeter, K6, Shell Scripting, PL/SQL, Jenkins, and Jira.Generate data for weekly charts trending product performance against target goals and project milestones

　　Required skills

　　6+ years of software development experience - Java preferred3+ years in performance engineeringHands-on experience with performance measurement, profiling, analysis, and optimizationExperience conducting benchmark and/or work-load testing using automation tools and frameworks for performance measurement and analysis (Jmeter)Working knowledge of Linux operating systemExperience performing simulation or lab experimentation to analyze application/ system performanceExperience working with public cloud technologies, particularly AWS and GCP, as well as knowledge of other cloud platforms.Hands-on experience with Kubernetes and AWS EKS (Elastic Kubernetes Service) for container orchestration.Practical knowledge of machine learning platforms such as AWS SageMaker and Vertex AI.Previous involvement in machine model training, deployment, and inferencing performance testing and optimization.Understanding of back-end systems, APIs, developer tools, and compilers.Ability to work cross-functionally to articulate, measure and solve performance issuesPassion for continuous improvement in building knowledge base technically and professionallyOutstanding attention to detail and communication skillsPassion for learning and working with others to improve yourself, the team, the product, the companyFast learner, ability to work in a distributed and fast-paced environment

　　Desired skills

　　Experience with cloud-based platform and infrastructure (Kubernetes, AWS, GCP, Azure)Knowledge of database fundamentals: SQL, schema, internals (Oracle preferred, AWR, ASH)JVM and garbage collector tuning, heap dump analysis experienceExperience with the following performance tools: JMeter, YourKit, Java Mission ControlKnowledge of back-end systems and API's, developer tools and compilersKnowledge of statistical analysis and experimental design techniquesExperience analyzing and interpreting large volume of production data using Splunk to understand throughput, latency, memory and CPU utilizationFamiliarity with Python, collaborative tools, notebooks, and machine learning frameworks such as PyTorch, sci-kit-learn, and TensorFlow. Expertise in DeepSpeed and FasterTransformers optimizers is a plus.Collaboration with cross-cloud performance engineering teams to ensure end-to-end application performance optimization.Expertise in cost-to-serve analysis, including proficiency in Tableau to create dashboards, knowledge of ETL tools, SQL, and big data processing.

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　　At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com.

　　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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