Software Engineering PMTS

Overview of the Role:

As a Software Engineer on the Cloud Infrastructure Automation team at Salesforce, you are part of a team that delivers automation tools, frameworks, workflows, and validation platforms across public cloud platforms including AWS, GCP, Azure, and Alibaba. You build and operate resilient distributed systems running across thousands of compute nodes in multiple data centers, contributing to open source technology and driving innovations that improve system availability, resilience, and performance.

You bring an AI-first mindset to your engineering practice, using AI tools to move faster, build fluency across the stack, and contribute well beyond your core specialty.

• Design, develop, and operate resilient distributed systems and cloud infrastructure automation tools across public cloud platforms (AWS, GCP, Azure, Alibaba), using Infrastructure-as-Code practices with Terraform and containerization frameworks such as Kubernetes and Docker.
• Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow.
• Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, and critically evaluate both human- and AI-generated code for correctness, quality, security, and performance.
• Participate in the team's on-call rotation to address complex problems in real time, balancing live-site management, feature delivery, and retirement of technical debt.

• 10+ years of backend software development experience with deep knowledge of programming in Java, Go, Python, or Ruby, and experience owning and operating multiple instances of critical services.
• A demonstrated AI-first approach to engineering, including hands‑on experience with AI development tools (e.g., Git Hub Copilot, Cursor, Claude, OpenAI API) and advanced prompt engineering skills to produce reliable, secure, production-ready outputs.
• Experience with critical infrastructure services including monitoring, alerting, logging, and reporting applications, as well as agile development and Test‑Driven Development (TDD) methodologies.
• Experience contributing to and maintaining shared system context—explicit repositories of system designs, constraints, and standards that enable AI to operate accurately and reliably.

• Experience with distributed database systems and relational databases such as Postgre
  
  SQL.
• Familiarity with open source technologies such as Spinnaker or Zookeeper.
• Experience writing microservices on containerization frameworks such as Mesos.

Salesforce is an equal‑opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. This means that at Salesforce, we believe in equality for all and lead the path to equality by creating a workplace that is inclusive and free from discrimination. Any employee or potential employee will be assessed on the basis of merit, competence, and qualifications without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law.

This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit, as is compensation, benefits, promotion, transfers, reduction in workforce, recall, training, and education.