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From the employer's careers site First seen 27 Oct 2026

Senior Site Reliability Engineer

Salesforce San Francisco, California Remote senior full-time

The employer hasn't listed a salary.

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Description

Salesforce is seeking a senior engineering candidate to join the Site Reliability organization in San Francisco. 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.

Responsibilities:

  • Build and run reliable, scalable, and efficient systems by applying software engineering principles to operations.
  • Ensure that systems meet defined Service Level Indicators (SLIs) and Service Level Objectives (SLOs), using error budgets to guide engineering and release decisions.
  • Lead incident detection, response, and resolution,driving root cause analysis, postmortems, and proactive measures to ensure high uptime, rapid recovery, and prevention of future issues.
  • Design and implement AI/ML-powered operations tools including anomaly detection systems, predictive analysis pipelines, intelligent runbook automation, and prompt-engineered operational agents.
  • Collaborate with engineering and product teams to define and uphold SLAs/SLOs, driving improvements in service reliability and customer experience.
  • Provide technical coaching to junior team members through pair programming, design reviews, and code reviews.

Requirements:

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

Skills

Required

Nice to have

  • AWS/GCP professional-level certifications
  • chaos engineering
  • game day exercises
  • AI agent frameworks
  • MCP (Model Context Protocol)
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