As an SRE, you will be a technical leader of the team driving Salesforce’s operational resilience by engineering solutions that blend automation, observability, and AI-powered platforms. You will not only respond to incidents but proactively design systems that prevent them, applying software engineering principles to operations to reduce toil and improve reliability at scale. By leveraging cutting-edge software engineering practices within SRE function and AI-driven insights, you will help transform how services are built, monitored, and operated — ensuring that Salesforce delivers always-on, high-performance experiences to customers worldwide.
Build and run reliable, scalable, and efficient systems by applying software engineering principles to operations. Our mission is to ensure services are highly available, performant, and resilient — while continuously improving the balance between operational work and engineering innovation.
Reliability as the Priority: Ensure that systems meet defined Service Level Indicators (SLIs) and Service Level Objectives (SLOs), using error budgets to guide engineering and release decisions.Engineering for Operations: Apply software engineering practices — automation, monitoring, self-healing systems — to eliminate toil and improve operational efficiency.Incident Management: Lead the coordinated response to incidents as an Incident Commander, drive fast recovery (low TTR), and ensure lasting improvements through blameless postmortems.Continuous Improvement: Identify and remove sources of toil, enhance observability, and optimize systems to reduce Time to Detect (TTD) and Time to Restore (TTR).Collaboration with Development: Partner with product and engineering teams early in the lifecycle to design, build, and operate systems that are reliable by default.Long-Term Focus: Leverage AI-driven automation to eliminate manual workflows, enabling the team to focus on complex problem-solving and strategic innovation while reducing operational overhead to less than 20% of capacity.5+ years of experience in systems engineering and software engineering for large-scale, internet-facing services.Hands-on expertise with containerized architectures (Docker, Kubernetes) and orchestration platforms.Strong knowledge of distributed systems and Linux/Unix internals, with experience tuning performance and troubleshooting at scale.Familiarity with large-scale internet service architectures (DNS, HTTP, Load Balancing, caching, etc.).Proven proficiency in Python and Go (GoLang) with strong software engineering practices (testing, code review, CI/CD).Production experience building and operating observability platforms (Grafana, Prometheus, ELK, Splunk, Datadog, or similar)Solid background in incident management, including on-call participation, root cause analysis, and postmortem practices.Strong understanding of SRE principles: SLIs/SLOs, error budgets, toil reduction, blameless culture, and capacity planning.Hands-on experience with workflow/orchestration engines (Temporal, Airflow, Argo Workflows, or similar) for building durable automation pipelines.Experience applying AI/ML to operations — including anomaly detection, predictive analysis, LLM-based automation, and prompt engineering to build intelligent operational agents and workflows.Excellent communication skills with demonstrated ability to lead during high-pressure incidents, present technical designs to leadership, and mentor junior engineers.Track record of mentoring and technically coaching other engineers.Ability to work in a 24/7 global operations model, managing multiple priorities under time-sensitive conditions.Growth mindset with curiosity to explore new technologies and drive continuous improvement.A demonstrated, genuine AI-first approach to engineering. Using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflowsAdvanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.A related technical degree required.Experience with AI agent frameworks, MCP (Model Context Protocol), or building LLM-powered operational tools.Contributions to open-source reliability/observability tooling.AWS/GCP professional-level certifications.Prior experience in SRE organizations supporting multi-cloud or hyperscale environments.Python and Go proficiency for systems-level tooling.Experience with chaos engineering and game day exercises.Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
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