Cloud Infrastructure Engineer

Salesforce; San Francisco (CA); On-site; USD 120,000 - 190,000; Full time

Job summary

Salesforce is seeking a Software Engineer (MTS) within the Platform Engineering team. You will build and operate core platform services in Go and Python, enable scalable multi-cloud deployments across AWS, Azure, GCP, and OCI, and contribute to GitOps-driven delivery pipelines.

You will work on automating cluster lifecycle, hardening CI/CD, and enabling AI-assisted engineering practices to boost productivity from day one.

Qualifications

• Experience building production-grade services in Go and Python.
• Familiarity with Kubernetes-based platforms and multi-cloud environments.

Responsibilities

• Build and operate core platform services in Go and Python.
• Contribute to GitOps and continuous deployment pipelines.
• Operate Kubernetes at scale and improve reliability.

Skills

Go

Python

Distributed systems

Tools

Kubernetes

GitOps

CI/CD

Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Overview of the Role

The Software Engineer (MTS) role is part of our Platform Engineering team within the Cloud Infrastructure organization. Platform Engineering is made up of platform engineers, SREs, and DevOps specialists who design, build, and operate the internal developer platform powering hundreds of Kubernetes clusters across AWS, Azure, GCP, and OCI. Whether we are automating cluster lifecycle management, hardening our GitOps delivery pipelines, or embedding AI into our daily engineering workflows, we strive to give every product team a fast, secure, and reliable path to production.

We are looking for a Member of Technical Staff to grow with our multi-cloud platform. You'll build and operate core platform services in Go and Python, contribute to our GitOps and continuous deployment pipelines, and learn to operate Kubernetes at scale — all while developing an agentic mindset and becoming an AI amplifier who multiplies your own output with AI-assisted engineering practices from day one