Salesforce
Software Engineering SMTS
$148K–$246K
California - San Francisco · Office Tech-Flexible · Full-time · Posted Oct 19, 2026
- Experience
- 6+ years designing and building production software.
About the job
Designs, builds, automates, and operates secure, reliable, scalable cloud infrastructure and production platforms, improving service availability, deployment reliability, and developer productivity.
What you'll do
- Build and operate cloud infrastructure, production platforms, automation, and Infrastructure as Code.
- Improve CI/CD, container operations, and observability; troubleshoot production issues and participate in incident response.
- Use AI-assisted development tools responsibly to accelerate engineering, automation, testing, and troubleshooting.
What they ask for
- Strong programming skills across frontend, backend, APIs, data stores, and distributed systems; experience developing production-quality software or automation.
- Experience deploying or operating production workloads on a public cloud, and strong understanding of cloud infrastructure concepts.
- Experience with containers, Infrastructure as Code, CI/CD, Linux, production observability, and production troubleshooting.
- Demonstrated AI-first approach using AI tools for engineering work.
Nice to have
- Experience operating large-scale distributed systems or high-availability platforms.
- Experience with Kubernetes ecosystem technologies, SRE practices, or internal developer platforms.
Pay
USD $148,500 - $223,900 annually (base salary); USD $178,900 - $246,000 annually (base salary)
Tools
AWS, Azure, Google Cloud Platform, Core Java, Python, Go, Docker, Kubernetes
AI focus
Use AI-assisted development tools for automation, software development, troubleshooting, testing, debugging, and documentation; apply security and quality controls. Salesforce also uses AI tools to help assess candidates’ resumes and qualifications, with humans making hiring decisions.
Model-written summary · the original posting is authoritative