SMTS LMTS Distributed Systems - Public Cloud GCP

Description

Salesforce and Google Cloud have embarked on a groundbreaking partnership worth $2.5 billion to revolutionize customer relationship management (CRM) through advanced artificial intelligence (AI). By integrating Googles Gemini AI models into Salesforces Agentforce platform, were enabling businesses to harness multi-modal AI capabilities—processing images, audio, and video—to deliver unparalleled customer experiences. Join our team of talented engineers and help us advance the integration of Salesforce applications on Google Cloud Platform (GCP). You will have the unique opportunity to work at the forefront of IDP, AI and cloud computing and contribute to enabling a full suite of Salesforce applications on Google Cloud. You will get an opportunity to build a platform on GCP to enable agentic solutions on Salesforce.

Our Public Cloud engineering teams are responsible for innovating and maintaining a large scale 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. You will need deep experience with concurrency, large scale systems, proficiency with solving real-world data management challenges, a strong understanding of how to craft solutions that are highly available, and a proven ability to design, develop, and optimize the core back-end systems.

Your Impact

• Deliver cloud infrastructure automation tools, frameworks, workflows, and validation platforms on our public cloud platforms such as AWS, GCP, Azure, or Alibaba
• Designing, developing, debugging, and operating resilient distributed systems that run across thousands of compute nodes in multiple data centers
• Using and contributing to open source technology (Kubernetes, Argo, etc.)
• Developing Infrastructure-as-Code using Terraform
• Writing microservices on containerization frameworks such as Kubernetes, Docker, Mesos
• Resolving complex technical issues and drive innovations that improve system availability, resilience, and performance
• Eat, sleep, and breathe services. You have experience balancing live-site management, feature delivery, and retirement of technical debt
• Participate in the team’s on-call rotation to address complex problems in real-time and keep services operational and highly available
  
  

• Proficiency with Terraform, Kubernetes, or Spinnaker
• Deep knowledge of programming in Java, Golang, Python, or Ruby
• Working experience with Falcon
• Experience owning and operating multiple instances of a critical service
• Experience with Agile development methodology and Test Driven Development
• Experience with critical infrastructure services including, monitoring, alerting, logging, and reporting applications
• Public Cloud experience preferred