Note: The job is a remote job and is open to candidates in USA. Talently is a cutting-edge organization in the Technology, Information and Media industry, and they are seeking a Director of Site Reliability Engineering. In this role, you will lead and build world-class Site Reliability Engineering practices, driving strategic reliability initiatives and mentoring engineering teams in a remote-first environment.

Responsibilities

• Define and execute a comprehensive company-wide Site Reliability Engineering strategy, embedding reliability as a core discipline across engineering teams
• Build, lead, and develop a high-performing SRE organization, including hiring, mentoring, and fostering a reliability-focused culture
• Establish SLIs, SLOs, KPIs, and error budgets to measure and drive platform reliability and performance improvement
• Guide architecture decisions and technical roadmaps for highly available, resilient, and scalable distributed systems
• Drive adoption of observability, monitoring, logging, and incident response solutions across cloud-based microservices environments, primarily on Google Cloud Platform
• Establish and oversee robust incident response frameworks, operational governance, and post-incident analysis processes
• Promote and implement best practices for infrastructure automation, cloud-native operations, and cost optimization
• Lead continuous improvement and innovation initiatives, including exploring AI-driven operations and new SRE methodologies

Skills

• 12+ years of experience in Site Reliability Engineering, Infrastructure Engineering, or DevOps in high-scale environments
• 5+ years of proven technical leadership, building and scaling SRE teams and practices
• Strong expertise with distributed systems, cloud-native infrastructures, microservices, and hands-on Google Cloud Platform experience (GKE, Compute Engine, Cloud Functions)
• Deep proficiency with infrastructure as code, automation frameworks, and CI/CD deployment pipelines
• Track record designing large-scale observability and monitoring solutions using tools like Prometheus, Grafana, Datadog, or New Relic
• Excellent communication, organizational development, and mentorship abilities
• Strong programming ability in Python, Go, Java, or similar languages
• Cloud or reliability certifications (e.g., Google Cloud Professional, SRE certifications)
• Experience implementing AIOps, anomaly detection, predictive analytics, or automated remediation/self-healing infrastructure
• Familiarity with AI/ML tools for operational intelligence and intelligent alerting
• Strong database performance tuning and distributed data systems knowledge
• Comfortable operating in fast-paced, high-growth technology environments
• Bachelor's degree in Computer Science, Engineering, or related field

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