Anand Gopinath
I am a results-driven DevOps engineer with 12+ years in IT, specializing in enterprise cloud infrastructure, CI/CD automation, and Kubernetes orchestration.
About
I am a results-driven DevOps engineer with 12+ years in IT, specializing in enterprise cloud infrastructure, CI/CD automation, and Kubernetes orchestration. I have hands-on experience in AWS, Jenkins, Terraform, Kubernetes, and Docker, delivering significant cost savings and deployment velocity improvements across large-scale environments. I consistently optimize pipelines, implement GitOps, and enforce robust security and compliance in multi-account setups.\n\nI lead distributed teams, mentor junior engineers, and thrive in remote-ready roles, driving reliable deployments and incident prevention across complex systems.
- 11 years' experience
- Joined January 2026
Industry experience
- Software & Internet
- Professional Services
More experts in Adelaide, Australia
Work experience· 4 roles
Led design and deployment of enterprise-grade CI/CD pipelines and Kubernetes infrastructure across 20+ Fortune 500 and SaaS clients, enabling 10+ daily releases with zero critical failures. Built 15+ pipelines with Jenkins and AWS CodePipeline, cutting deployment time from 2+ hours to 15 minutes and delivering 42% infrastructure cost savings through right-sizing, auto-scaling, and reserved instances. Implemented Kubernetes clusters on EKS with Istio service mesh for traffic management, achieving 99.99% reliability and faster incident response. Adopted GitOps with ArgoCD/Flux, established IaC across 50+ accounts, and enforced security and audit controls that sustained SOC 2 Type II and ISO 27001. Mentored junior engineers and led incident response with 99% first-contact resolution.
Managed infrastructure operations for 40+ production servers and cloud deployment automation, achieving 99.9% uptime and 30% cost reduction on cloud migration. Streamlined maintenance using Ansible and Bash, reduced manual intervention by 70%, and delivered 2-week early AWS migrations for 5 on-prem apps with zero downtime, 30% cost savings, and 45% performance improvement. Implemented disaster recovery automation achieving 99.9% uptime with 1-hour RTO and 4-hour RPO. Established monitoring with Prometheus, Grafana, and CloudWatch to minimize undetected failures.
Specialized in database and infrastructure optimization; improved PostgreSQL performance by 60% through query optimization and indexing; integrated 8+ third-party systems with 99.9% uptime and automated reconciliation; mentored 3 engineers in infrastructure automation and Python scripting, raising productivity by 35%.
Education
Certifications and awards
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