Senior SRE: AI-Driven Reliability & Incident Leadership

Salesforce; San Francisco (CA); On-site; USD 149,000 - 246,000; Full time

Job summary

Salesforce's Site Reliability Engineering team in San Francisco seeks a senior engineer to lead reliability across cloud services, applying AI-driven automation, observability, and scalable architectures. You will drive incident responses, design proactive improvements, and mentor junior engineers in a 24/7 global operations model.

You will partner with Infrastructure and R&D, implement durable automation pipelines (Temporal, Airflow, Argo), and build production-grade observability to keep

Qualifications

• 5+ years of experience in systems engineering and software engineering for large-scale, internet-facing services.
• Docker and Kubernetes experience
• Strong Linux/Unix internals knowledge
• Proficient in Python and Go
• Observability platforms experience (Grafana/Prometheus/ELK/Datadog)
• Knowledge of SRE principles: SLIs/SLOs and incident management
• Experience with workflow engines (Temporal/Airflow/Argo Workflows)
• AI/ML in operations experience
• Excellent communication and mentoring skills
• AI-first approach to engineering

Responsibilities

• Lead incident detection, response, and resolution with root cause analyses.
• Lead post-incident reviews and drive systemic fixes.
• Design and implement automation platforms, self-healing systems, and AI-powered tooling.
• Architect production-grade observability solutions: monitoring, logging, tracing.
• Collaborate with engineering and product teams to meet SLAs/SLOs and improve reliability.
• Provide technical coaching to junior engineers through pair programming and reviews.
• Develop AI-powered operations tools and durable automation workflows.

Skills

SRE principles

Incident management

Python

Go

Linux/Unix

Docker

Kubernetes

Observability

AI/ML in operations

Education

Related technical degree

Tools

Temporal

Airflow

Argo Workflows

Grafana

Prometheus

ELK

Datadog

Job description

Salesforce's Site Reliability Engineering team in San Francisco seeks a senior engineer to lead reliability across cloud services, applying AI-driven automation, observability, and scalable architectures. You will drive incident responses, design proactive improvements, and mentor junior engineers in a 24/7 global operations model.

You will partner with Infrastructure and R&D, implement durable automation pipelines (Temporal, Airflow, Argo), and build production-grade observability to keep