# Site Reliability Engineer

**Company**: Salesforce
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://salesforce.wd12.myworkdayjobs.com/en-US/External_Career_Site/job/Ireland---Dublin/Software-Engineering-SMTS_JR365006?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_5fc0be36-c6b

## Description

As a Site Reliability Engineer (SRE) at Salesforce, you will be a technical leader driving 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.

Responsibilities:

- Reliability as the Priority: Ensure 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.

Requirements:

- 5+ years of experience in systems and software engineering for large-scale, internet-facing services.

- Strong knowledge of distributed systems, Linux/Unix internals, and internet architectures (DNS, HTTP, load balancing, caching).

- Proven proficiency in Python and Go (GoLang) with strong software engineering practices (testing, code review, CI/CD).

- Hands-on expertise with containerized architectures (Docker, Kubernetes) and workflow/orchestration engines (Temporal, Airflow, Argo Workflows, or similar).

- Production experience building and operating observability platforms (Grafana, Prometheus, ELK, Splunk, Datadog, or similar).

- Solid background in incident management and SRE principles: on-call, root cause analysis, postmortems, SLIs/SLOs, error budgets, and toil reduction.

- An AI-first approach to engineering, with experience applying AI/ML to operations and using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor) in development workflows.

## Skills

### Required
- Python
- Go
- Kubernetes
- Docker
- Grafana
- Prometheus
- ELK
- Splunk
- Datadog
- Temporal
- Airflow
- Argo Workflows
- Linux
- Unix
- Distributed Systems
- Internet Architectures

### Nice to have
- AI agent frameworks
- MCP (Model Context Protocol)
- LLM-powered operational tools
- AWS/GCP professional-level certifications
- Chaos engineering
- Game day exercises

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Source: [Apply at salesforce.wd12.myworkdayjobs.com](https://salesforce.wd12.myworkdayjobs.com/en-US/External_Career_Site/job/Ireland---Dublin/Software-Engineering-SMTS_JR365006?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)