Senior Site Reliability Engineer

Stack

Responsibilities

• ▹Lead incident detection, response and resolution, driving root cause analysis, postmortems and proactive measures for high uptime
• ▹Lead post-incident reviews and drive systemic fixes through corrective actions
• ▹Independently design and implement complex automation platforms, self-healing systems and AI-powered operational tooling using durable workflow engines (Temporal, Airflow, Argo Workflows)
• ▹Architect and build production-grade observability solutions (monitoring, logging, alerting, tracing) enabling proactive detection and autonomous remediation
• ▹Design and implement AI/ML-powered operations tools: anomaly detection, predictive analysis pipelines, intelligent runbook automation and prompt-engineered operational agents (MCP-based)
• ▹Optimise system performance, reliability and cost-effectiveness through proactive monitoring and tuning
• ▹Ensure the Site Reliability team's work complies with the company's internal compliance policy and directives
• ▹Create comprehensive technical epics with clear problem statements, project documentation and measurable business outcomes
• ▹Provide technical coaching to junior team members through pair programming, design reviews and code reviews
• ▹Collaborate with engineering and product teams to define and uphold SLAs/SLOs
• ▹Build and ship production-grade software with modern engineering practices, using AI as a core part of the development workflow
• ▹Design and orchestrate systems where AI agents integrate into human workflows
• ▹Critically evaluate human or AI-generated code for correctness, quality, security and performance
• ▹Contribute to building and maintaining the shared system context

Requirements

• ▹5+ years of experience in systems 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 performance tuning and troubleshooting at scale
• ▹Familiarity with large-scale internet service architectures (DNS, HTTP, load balancing, caching, etc.)
• ▹Proven proficiency in Python and Go 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, capacity planning
• ▹Hands-on experience with workflow/orchestration engines (Temporal, Airflow, Argo Workflows or similar)
• ▹Experience applying AI/ML to operations, including anomaly detection, predictive analysis, LLM-based automation and prompt engineering for operational agents
• ▹Excellent communication skills, with ability to lead during high-pressure incidents, present technical designs to leadership and mentor junior engineers
• ▹Track record of mentoring and technically coaching other engineers
• ▹Ability to work in a 24/7 global operations model, managing multiple priorities under time pressure
• ▹Growth mindset and curiosity to explore new technologies
• ▹A genuine AI-first approach to engineering, using AI to move faster and build fluency beyond your core specialty
• ▹Experience using AI tools (e.g. Claude Code, GitHub Copilot, Codex, Cursor) in development workflows
• ▹Advanced prompt engineering skills and the ability to cultivate the system context that makes AI outputs reliable, secure and production-ready
• ▹Understanding of AI/ML concepts applied to operations (e.g. anomaly detection, predictive analysis)
• ▹A related technical degree

Nice to have

• ▹Experience with AI agent frameworks, MCP (Model Context Protocol) or building LLM-powered operational tools
• ▹Contributions to open-source reliability/observability tooling
• ▹AWS/GCP professional-level certifications
• ▹Experience in SRE organizations supporting multi-cloud or hyperscale environments
• ▹Python and Go proficiency for systems-level tooling
• ▹Experience with chaos engineering and game day exercises

Soft skills

About the company

Salesforce describes itself as the number one AI CRM; its Site Reliability organization monitors cloud service availability globally in a follow-the-sun model.