Software Engineering Smts

Salesforce Salesforce · Enterprise · Vancouver Metro, Canada · Remote

Salesforce is seeking a Software Engineering SMTS to join their Public Cloud engineering teams. The role involves innovating and maintaining a large-scale distributed systems engineering platform that ships hundreds of features to production for millions of users. Responsibilities include delivering cloud infrastructure automation tools, designing and operating resilient distributed systems, using and contributing to open-source technologies, developing Infrastructure-as-Code, writing microservices on containerization frameworks, resolving complex technical issues, and participating in on-call rotations. The role requires a technical degree, 4+ years of backend software development experience, deep knowledge of Java, Golang, Python, or Ruby, experience with open-source technologies like Kafka and Spinnaker, and experience with critical infrastructure services.

What you'd actually do

  1. Deliver cloud infrastructure automation tools, frameworks, workflows, and validation platforms on our public cloud platforms such as AWS, GCP, Azure, or Alibaba
  2. Designing, developing, debugging, and operating resilient distributed systems that run across thousands of compute nodes in multiple data centers
  3. Using and contributing to open source technology (Spinnaker, Zookeeper, etc.)
  4. Developing Infrastructure-as-Code using Terraform
  5. Writing microservices on containerization frameworks such as Kubernetes, Docker, Mesos

Skills

Required

  • A related technical degree required
  • 4+ years backend software development experience
  • Deep knowledge of programming in Java, Golang, Python, or Ruby
  • Experience using and contributing to open source technology: Kafka, Spinnaker, Zookeeper
  • 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

What the JD emphasized

  • large scale distributed systems
  • highly available