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Software Engineering SMTS

Global leader in CRM software and enterprise cloud computing solutions
Site Reliability
Staff Software Engineer
In-Person
5,000+ Employees
5+ years of experience
Enterprise SaaS · AI

Description For Software Engineering SMTS

Salesforce is seeking a Staff Software Engineer (SMTS) to join their Site Reliability Engineering (SRE) team. This role combines software and systems engineering to build and maintain large-scale, distributed systems that power Salesforce's enterprise services. The position focuses on ensuring service reliability, capacity, and performance at scale. You'll work on cutting-edge challenges unique to Salesforce's infrastructure, implementing AI/ML solutions, and developing observability frameworks. The role offers opportunities to work with modern cloud technologies, container orchestration, and automation tools while being part of a diverse, collaborative team that values intellectual curiosity and innovation. The SRE team promotes a blame-free environment that encourages risk-taking and self-direction, while providing support and mentorship for professional growth. This position is perfect for experienced engineers passionate about building reliable, scalable systems and driving technological innovation in a global enterprise environment.

Last updated a day ago

Responsibilities For Software Engineering SMTS

  • Define and implement SLIs/SLOs with engineering teams
  • Build automation and self-healing capabilities
  • Operate and scale monitoring, alerting, and tracing systems
  • Lead post incident analysis and conduct postmortems
  • Improve CI/CD practices
  • Use data to uncover trends and drive platform improvements
  • Collaborate on integrating AI-driven automation
  • Support and scale multi-cloud, multi-region services
  • Work within Agile teams

Requirements For Software Engineering SMTS

Python
Go
Java
Kubernetes
Linux
  • 5+ years of experience in Python, Go, or Java for automation, tooling, and integration
  • Experience designing, building and operating large scale distributed systems
  • Experience in developing and deploying production-grade software applications
  • Strong experience with AWS or GCP and services like EC2, VPC, IAM, S3, EKS
  • Expertise in Kubernetes and modern container orchestration
  • Deep understanding of SRE principles
  • Experience with AI/ML platforms, agents, or intelligent observability systems
  • Familiarity with observability tooling
  • Hands-on with CI/CD pipelines and Git-based workflows
  • Experience with IaC and config management tools
  • Strong Linux systems knowledge and troubleshooting skills

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