Lead Site Reliability Engineer, Salesforce

• 7+ years of experience in Python, Go, or Java for automation, tooling, and integration
• Hands-on experience designing, building and operating large scale distributed systems, identifying shortcomings and optimization opportunities
• Demonstrated experience in developing and deploying production-grade software applications or services
• Proven ability to contribute directly to application codebase improvements for reliability and scalability
• Strong understanding of software engineering best practices, including design patterns, testing methodologies, and code reviews, applied in a production environment
• Excellent knowledge of Internet technologies and protocols (TCP/IP, DNS, HTTP, SSL, etc.)
• Ability to locate and address sources of instability in high-traffic, large-scale distributed systems
• Strong experience with API fundamentals (SOAP, REST)
• Experience in Public Cloud environments, Kubernetes and modern container orchestration
• Knowledge of microservices, service mesh, and zero-trust infrastructure
• Solid knowledge of large-scale complex systems from a reliability and availability perspective
• Hands-on with experience with large scale SDLC pipelines
• Strong Linux systems knowledge and troubleshooting skills
• Experience in fault modeling and tolerance, chaos engineering, performance and load testing

Desirable

• Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems
• SRE ensures that Salesforce services have reliability, capacity, performance and the availability to deliver our customer’s needs and a rate of improvement that our customers expect
• On the SRE team, you’ll have the opportunity to manage the complex challenges of scale which are unique to Salesforce, while using your expertise in coding, algorithms, complexity analysis and large-scale system design
• Support and scale multi-cloud, multi-region services
• Build automation and self-healing capabilities to reduce manual operations
• Operate and scale monitoring, alerting, and tracing systems for proactive detection
• Improve CI/CD practices to accelerate safe, frequent deployments
• Define and implement SLIs/SLOs with engineering teams, driving reliability into system architecture
• Collaborate on integrating AI-driven automation and observability to enhance reliability
• Work within Agile teams, participating in SCRUM ceremonies and iterative delivery
• Lead post incident analysis, conduct postmortems, and ensure effective root cause resolution
• Use data to uncover trends, inform prioritization, and drive platform improvements