Senior DNS & Cloud Infrastructure Engineer

salesforce.com, inc.; San Francisco (CA); On-site; USD 149,000 - 224,000; Full time

Job summary

Salesforce is seeking an experienced backend engineer to design and operate a large-scale distributed platform in a public cloud environment. You will build and run cloud infrastructure automation, write resilient microservices, and contribute to open source tooling while ensuring high availability and security for tens of millions of users.

You will work across teams to automate, monitor, and optimize complex systems, with a focus on scalability, reliability, and performance in a fast-paced

Qualifications

• Minimum of 5+ years of backend software development experience (Python) working with Cloud Architecture.
• Hands-on experience with Linux Systems Administration, servers, and cloud provisioning at scale.
• Strong understanding of OOP, design patterns, data structures, algorithms, and concurrency in Python.

Responsibilities

• Deliver cloud infrastructure automation tools, frameworks, workflows, and validation platforms on public cloud platforms.
• Design, develop, debug, and operate resilient distributed systems across data centers and thousands of compute nodes.
• Write microservices and containerized workloads using Kubernetes, Docker, and related tech.
• Develop Infrastructure-as-Code and manage large cloud-hosted systems.

Skills

Python

Linux systems administration

Cloud architecture

Kubernetes

Docker

CI/CD

Networking basics

Tools

Terraform

Puppet

Ansible

Grafana

Splunk

Jenkins

Travis CI

Job description

Salesforce is seeking an experienced backend engineer to design and operate a large-scale distributed platform in a public cloud environment. You will build and run cloud infrastructure automation, write resilient microservices, and contribute to open source tooling while ensuring high availability and security for tens of millions of users.

You will work across teams to automate, monitor, and optimize complex systems, with a focus on scalability, reliability, and performance in a fast-paced