Key job responsibilities
•Respond to customer inquiries in a timely manner, resolving issues with Salesforce and AWS
•Consistently document root cause analysis steps and findings, recommended solutions
•Monitor customer service areas to identify potential system issues that could impact customer experience
•Complete setup and configuration of Salesforce customer accounts and configurations
•Maintain and improve existing Salesforce and AWS applications and processes
•Implement changes to applications within Salesforce and AWS
•Develop requirements and specifications to meet customer needs
•Install, configure, and test new applications, software, and hardware in a timely manner
•Develop and execute effective system maintenance plans
•Consult with stakeholders on application performance, scalability, and usability
•Ensure compliance with security protocols for Salesforce and AWS systems
•Resolve system problems efficiently
A day in the life
In a typical day, you will be working with a team of engineers, salesforce developers and admins, working on a variety of products ranging from AI Assistant that automates workflows for AMs, building salesforce solutions for managing leads and opportunities, managing various tasks and automation. You will be working with Products Managers and AMs worldwide to create and execute a roadmap of compelling user experiences. You will be extremely curious about learning and incorporating the latest developments in generative AI to develop products that deliver agentic AI solutions.
- Experience in automating, deploying, and supporting large-scale infrastructure
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience with Linux/Unix
- Experience with CI/CD pipelines build processes
- Experience in the salesforce platform
- Experience with distributed systems at scale
- Experience in AI products on the salesforce platform such as Agentforce
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