Senior Software Engineer, SMTS

Our Tech and Product team is responsible for innovating and maintaining a massive distributed systems engineering platform that ships hundreds of features to production for tens of millions of users across all industries every day. Our users count on our platform to be highly reliable, lightning fast, supremely secure, and to preserve all of their customizations and integrations every time we ship. Our platform is deeply customizable to meet the differing demands of our vast user base, creating an exciting environment filled with complex challenges for our hundreds of agile engineering teams every day. Check out our "We are Salesforce Engineering" video We are Salesforce Engineering Team: We are defining the next generation of trusted enterprise computing in the cloud. We're a fast-paced, agile and innovative team. We're highly collaborative and work across all areas of our technology stack. We enable critical services for the business, qualify complex compute changes, trail-blaze new engineering solutions for the cloud. Responsibilities: Eat, sleep, and breathe services. You have experience balancing live-site management, feature delivery, and retirement of technical debt across an entire development team. Develop tools/products for service deployments, system configuration management, monitoring, diagnostics, and performance measurement Supporting Homegrown Self Serve services and software design solutions Review and Management of version-controlled deployment technologies An unwavering love of shipping software. Excited about building reliable, self-healing services on unreliable hardware. Design, deployment and continuous improvement of important infrastructure services Provide input into long-range platform requirements and operational guidelines, with a focus on automation and continuous improvement of Platform Service availability. Analyze and understand how stakeholders are using the platform and help drive continuous improvement of the offering based on that. Ensure that we are continuously raising our standard of engineering excellence by implementing best practices for coding, testing, code coverage and deployment Scoping of work, management of backlog and predictability of project delivery. Share daily operational responsibilities with the team Required Skills: BS or MS in Computer Science or equivalent experience. Strong CS fundamentals including data structures, algorithms, and distributed systems. You care about code simplicity and performance Min 3 to 5 years of industry experience in designing, building, supporting, scalable, available, and low-latency distributed systems. Understanding of OO programming and concepts (Java, C++, C#, Python) Experience designing, developing, debugging, and operating resilient distributed systems that run across thousands of compute nodes in multiple data centres. Fluency in one or more scripting languages such as Python, ruby. Solve challenging technical problems related to security, parallel and distributed systems, programming, resource management, large-scale system maintenance, and more Experience with AWS or GCP or another cloud PaaS provider. Solid understanding of how to configure, deploy, manage and maintain large cloud-hosted systems; including auto-scaling, monitoring, performance tuning, troubleshooting and disaster recovery. Proficiency with source control, continuous integration, and testing pipelines. Being a great listener, collaborator, communicator, and mentor. Championing a culture and work environment that promotes diversity and inclusion A strong background in open source technology. Experience using telemetry and metrics to drive operational excellence Experience with building APIs and services using REST, SOAP, etc. Experience in the development of distributed/scalable systems and high-volume transaction applications Knowledge of professional software engineering and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Experience with building services on top of relational and non-relational stores like SQL Server, MySQL, PostgreSQL, Cassandra, or MongoDB Preferred Skills: Experience with Containers and orchestration services like Kubernetes, Docker etc. Experience with HBase, Hadoop, and large-scale big data systems. Knowledge about cloud security and best practices. Deep understanding of fundamental network technologies like DNS, Load Balancing, SSL, TCP/IP, SQL, HTTP. #J-18808-Ljbffr