Gayan J.
Site Reliability Engineering Manager @Cisco
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WORK HISTORY
Site Reliability Engineering Manager @Cisco
Calgary, AB, CA
Leading Cisco XDR\'s SRE team and pioneering AI-powered operations automation.AI INNOVATION & AGENTICOPS (2024-Present)- Pioneered AgenticOps: AI-powered SRE platform achieving 90% reduction in incident investigation time (5-15 min → 30 sec), impacting incidents annually- Architected multi-agent system using Claude AI for metrics, logs, Kubernetes, and knowledge base analysis- Integrated 5+ tools via MCP Gateway (CloudWatch, Splunk, EKS); achieved 85% accuracy in automated root cause analysis- Leading AI Compliance Agent for SOC2/ISO27001 evidence collection, targeting 70% audit prep reductionLEADERSHIP & TEAM BUILDING- Built SRE team from ground up: 100% retention over 3 years, 2 internal promotions- Established OKR framework aligning team objectives with organizational goals- Mentored engineers through 1:1s, career development plans, and technical coachingCLOUD ARCHITECTURE & RELIABILITY- Designed AWS solutions supporting 99.96% uptime SLA across multiple regions- Optimized infrastructure costs by 20%(~$3.6M/yr) through rightsizing and architectural improvements- Architected multi-region DR strategy: RPO < 15 min, RTO < 1 hour- Led IaC initiatives using Terraform, managing 10k+ resources across 10+ accountsSECURITY & COMPLIANCE- Achieved SOC2 Type 2 and ISO27001 three times with zero audit exceptions- Implemented zero-trust model with IAM Identity Center and service meshBUSINESS IMPACT- Presented at Vercel Ship 2025 to attendees- Drove go-to-market pricing strategy for Cisco XDR- Negotiated vendor partnerships reducing costs and improving marginsTechnologies: AWS, Kubernetes, Terraform, Python, Go, Claude AI, Amazon Bedrock, MCP, Splunk, Datadog
EDUCATION
University of Peradeniya
Bsc (Eng,hons), Computer Engineering
ABOUT GAYAN J.
Engineering leader building the future of AI-powered operations.Currently leading Cisco XDR\'s SRE team, where I pioneered AgenticOps—an AI-powered automation platform that reduced incident investigation time by 90%(from 5-15 minutes to 30 seconds). Our multi-agent system uses Claude AI with specialized agents for metrics, logs, Kubernetes, and knowledge base analysis.I\'m passionate about the intersection of AI/ML and reliability engineering:→ LLM reliability & observability (SLOs for AI workloads)→ Agentic automation for incident response→ AI-powered compliance and audit automationTrack record: 99.96% uptime SLA,$3.6M/yr cloud cost optimization, SOC2/ISO27001 with zero audit exceptions, 100% team retention over 3 years.Previously: Senior SRE at Ping Identity (multi-region AWS, 99.99% SLA, 15M+ users).Open to conversations about AI Ops, ML reliability, and the future of intelligent infrastructure. Feel free to connect.
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