Description
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 (Spinnaker, Zookeeper, etc.)
Developing Infrastructure-as-Code using Terraform
Writing micro-services 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
Required Skills:
A related technical degree required
5+ years backend software development experience
Deep knowledge of programming in Java, Golang, Python, or Ruby
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,
A thorough understanding of distributed systems, system programming, working with system resources is required. Practical knowledge for challenges regarding clustering solutions, hands-on experience in deploying your code in the public cloud environments is highly desired.
For SMTS - 4 to 8 years of experience
For LMTS - 8 to 12 years of experience
For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.