AI‑Driven SRE Lead — Reliability & Incidents

100 Salesforce, Inc.; San Francisco (CA); On-site; USD 179,000 - 246,000; Full time

Job summary

Salesforce is seeking a senior Site Reliability Engineer to join the 24/7 follow-the-sun SRE team for the Salesforce cloud. You’ll lead incident response, drive postmortems, and design AI-driven, automated reliability solutions at scale.

Bring 5+ years in large-scale systems, expertise in Docker/Kubernetes, Python/Go, and strong observability background. Expect a global 24/7 operations model with on-call responsibilities.

Qualifications

• 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.

Responsibilities

• Lead incident detection, response, and resolution—driving root cause analysis and postmortems to prevent recurrence.
• Lead post-incident reviews, drive systemic fixes through corrective actions, and ensure customer-facing services maintain peak reliability.
• Understand AI/ML concepts applied to operations (e.g., anomaly detection, predictive analysis).
• Independently drive the design and implementation of complex automation platforms, self-healing systems, and AI-powered operational tooling.
• Architect and build production-grade observability solutions — monitoring, logging, alerting, and tracing for proactive detection and remediation.
• Design and orchestrate AI/ML-powered operations tools including anomaly detection systems, predictive analysis pipelines, runbook automation, and prompt-engineered agents.
• Drive optimization of system performance, reliability, and cost-effectiveness through proactive monitoring and tuning.
• Ensure Site Reliability work complies with internal policies and directives.
• Identify opportunities and drive technical epics with clearly measurable outcomes.
• Provide coaching to junior engineers through pair programming, design reviews, and code reviews.

Skills

SRE experience

Docker

Kubernetes

Python

Go

Observability

Education

Technical degree

Tools

Temporal

Airflow

Argo Workflows

Grafana

Prometheus

Datadog

Job description

Salesforce is seeking a senior Site Reliability Engineer to join the 24/7 follow-the-sun SRE team for the Salesforce cloud. You’ll lead incident response, drive postmortems, and design AI-driven, automated reliability solutions at scale.

Bring 5+ years in large-scale systems, expertise in Docker/Kubernetes, Python/Go, and strong observability background. Expect a global 24/7 operations model with on-call responsibilities.