Senior SRE — Flexible, AI-Driven Reliability

Salesforce, Inc.; San Francisco (CA); Hybrid; USD 148,500 - 223,900; Full time

Job summary

Salesforce, Inc. is seeking a Senior Site Reliability Engineer in San Francisco to lead reliability across large-scale services.

You will architect and implement automated, observable, and AI-powered operations while driving incidents, postmortems, and continuous improvements. Ideal candidates have 5+ years in SRE or systems engineering, strong Python/Go skills, and hands-on experience with Docker, Kubernetes, and observability platforms.

Qualifications

• 5+ years of systems engineering and software engineering for large-scale services.
• Containerized architectures (Docker, Kubernetes) and orchestration knowledge.
• Strong distributed systems and Linux internals with tuning at scale.

Responsibilities

• Lead incident detection, response, and resolution with root cause analysis and postmortems.
• Drive post-incident reviews and systemic fixes to maintain high uptime.
• Apply AI/ML concepts to operations (anomaly detection, predictive analysis).
• Design and implement automation platforms, self-healing systems, and AI-powered tooling.
• Develop production-grade observability solutions (monitoring, logging, tracing).
• Collaborate with engineering teams to uphold SLAs/SLOs and improve customer experience.

Skills

5+ years experience

Docker

Kubernetes

Python

Go

Observability tools

Incident management

SRE principles SLIs/SLOs

Workflow engines (Temporal/Argo)

AI/ML in operations

Education

Related technical degree

Tools

Temporal

Airflow

Argo Workflows

Grafana/Prometheus/ELK/DogDB

Job description

Salesforce, Inc. is seeking a Senior Site Reliability Engineer in San Francisco to lead reliability across large-scale services.

You will architect and implement automated, observable, and AI-powered operations while driving incidents, postmortems, and continuous improvements. Ideal candidates have 5+ years in SRE or systems engineering, strong Python/Go skills, and hands-on experience with Docker, Kubernetes, and observability platforms.