Job type: Full-time
Experience level: Mid-Level, Senior, Lead
Industry: Cloud Services, Information Technology
Company size: 10k+ people
Company type: Public
We are seeking a Software Engineer, Performance Engineer to join our R&D, Tech & Products team. As the 4th largest software company in the world, and the leader in the cloud, we are challenged with designing and developing the next generation technologies in cloud computing. Our mission as the “customer company”, is to ensure trust with our customers, from Fortune 100 companies, to start-ups and nonprofit organizations. Processing more than 5+ billion transactions per day and growing, performance remains a center focus for innovation.
Trust.salesforce.com is the Salesforce community’s home for real-time information on system performance and security. View our daily transaction volume here: https://status.salesforce.com/performance
Be a part of the first-rate team that influences the future expansion of next-generation cloud solutions for speed, scale, and high availability. 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, IoT, Platform, API’s and mobile UI experiences.
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 performance improvements, we would love to hear from you.
This 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. The candidate should be confident in discussing time/space complexity using O(n) notation and engage in a project’s design phase for its performance and scalability considerations. You are the performance expert for your scrum team, and should own your team’s performance related problems on production.
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San Francisco, US