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Salesforce.Com Inc

Sr. Software Engineer, DataStores Slack

Salesforce.Com Inc, Detroit, Michigan, United States, 48228


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Job CategorySoftware 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.

Slack's DataStores team builds and operates the database platform powering Slack. We write software to manage thousands of stateful hosts, providing several petabytes of online database capacity. We are building one of the fastest-growing database platforms in the world. Our MySQL databases run in . You can read more about our migration to Vitess at: Background Slack enables people all over the world to communicate and collaborate together. Teams of all scales - from the world's largest public companies to the smallest of startups - use Slack to get work done, so we take performance and reliability very seriously. A taste of our scale: The average user spends over 10 hours connected and 2.5 hours active in Slack every single day 1.5 billion+ messages are sent per month, half of those outside the United States Every day we see over 10M+ daily active users, over a billion web requests, and 10s of billions of database queries. For millions of people, Slack is the primary communication tool they use at work all day long. They expect it to be exceptionally.Infrastructure at Slack We operate at tremendous scale with systems that process millions of events per second. Teams in our group maintain and build the lower levels of our stack, including: Edge services Data Stores and Caches Real-time messaging Asynchronous background job processing We know we've done our job correctly when none of our users think about us. We don't typically ship new user-facing features, but rather ensure our systems are incredibly performant, highly available, reliable, and scalable. In other words, Slack just works seamlessly.

Slack's API and web backend is built on, our backend services are written in Java and Go, and we use Vitess as our storage engine. Our architecture is constantly evolving to handle millions more users. You can read about , how , and much more on our blog.What you will be doing: Operate and enhance our large, highly-available database infrastructure, utilizing technologies such as MySQL and Vitess. Develop tools to enable self-service and self-managing capabilities of our database infrastructure so that other teams can operate full-stack while rapidly building new features for our customers. Collaborate with engineering teams on their database storage needs, and advise them throughout the development lifecycle. Write code to capture database performance, and create tools and dashboards to provide actionable insight into that data. Participate in our on-call rotation and collaborate with our operations team to triage and resolve production issues. Support FedRAMP and DoD SRG activities.What you should have: Have been working in data storage, core infrastructure, or distributed system-owning teams with increasing responsibilities for 5+ years. Have professional experience using Go, PHP/Hacklang, Python, Ruby, or Java. Write code that can be easily understood by others with an eye towards clarity and maintainability. Collaborate with other teams to integrate new features of your platform or adopt self-service features. Operated at least one distributed system, at scale and in a t