Senior AI-First Cloud Distributed Systems Engineer

Own Company; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Salesforce is seeking a Distributed Systems Software Engineer for Public Cloud at senior/lead/principal level. You will design and operate large-scale, highly available backend services, leveraging AI-enabled development workflows and cloud platforms like AWS, GCP, and Azure.

Expected focus includes infrastructure automation, open source tooling, and robust on-call reliability across data centers. The role emphasizes AI-driven engineering, standards, and scalable architectures, with

Qualifications

• Related technical degree required.
• 3+ years backend software development experience.
• Proficiency in Java, GoLang, Python, or Ruby.
• Experience owning and operating multiple instances of a critical service.
• Genuine AI-first engineering approach.
• Experience using AI tools in development workflows.
• Advanced prompt engineering skills.
• Experience with Agile development methodology and Test Driven Development.
• Experience with monitoring, alerting, logging, and reporting applications.
• Experience with distributed databases and PostgreSQL is a plus.

Responsibilities

• 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 microservices on containerization frameworks such as Kubernetes, Docker, Mesos.
• Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
• Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
• Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
• Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance.
• 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.

Skills

Backend development

Java

GoLang

Python

Ruby

AI-first engineering

AI tools

Agile development

Test Driven Development

Distributed systems

Education

Related technical degree

Tools

Terraform

Kubernetes

Docker

Spinnaker

Zookeeper

Mesos

Job description

Salesforce is seeking a Distributed Systems Software Engineer for Public Cloud at senior/lead/principal level. You will design and operate large-scale, highly available backend services, leveraging AI-enabled development workflows and cloud platforms like AWS, GCP, and Azure.

Expected focus includes infrastructure automation, open source tooling, and robust on-call reliability across data centers. The role emphasizes AI-driven engineering, standards, and scalable architectures, with