Ravikumar M

Driving AI adoption across the software lifecycle through AI-assisted development, testing, and automation across Cloud, Developer & SRE teams. Leading cloud-native software engineering, platform reliability, observability, and operational excellence.

• Driving AI adoption across the software lifecycle — implementing AI-assisted development, testing, and automation across Cloud, Developer & SRE teams.
• Designed and built an AI-powered Problem Suggestion Engine using RAG architecture — deployed Ollama on AWS EKS serving Gemma 3 (LLM) and Nomic Embed Text (embedding model), ingesting runbooks into OpenSearch vector database, generating structured remediation suggestions (root cause analysis, troubleshooting commands, mitigation steps) as a POC for AIOps-driven incident resolution.
• Built AI-driven NiFi Flow Development tooling using Generative AI (Kiro IDE + Amazon Q) with MCP integrations to Confluence, Jira, and GitLab — enabling automatic generation of complete, deployable NiFi flows as Python scripts (NiPyApi), achieving 80% overall accuracy with human-in-the-loop validation, reducing flow development time from days to hours.
• Implemented Post Deployment Validation using AI agents that automatically verify deployment health, detect anomalies through pattern recognition, and flag regressions post-release.
• Designed Development Approval Process using AI to intelligently assess code changes against compliance policies, auto-generate review summaries, and streamline approval workflows.
• Led regular Kubernetes cluster upgrades (EKS) — managing control plane and node group version upgrades, add-on compatibility validation, PodDisruptionBudget enforcement, and rolling updates ensuring zero downtime and compliance with security patches.
• Performed proactive Kubernetes security patching including CVE remediation, container image vulnerability scanning, runtime security hardening, and CIS benchmark compliance across production clusters.
• Architected and deployed Apache NiFi clusters on AWS EKS using custom Helm charts, ensuring scalability, high availability, and automated failover/recovery.
• Built end-to-end high-volume communication infrastructure capable of handling 10M+ communications daily across multiple channels — Push notifications via IMI, high-volume Email through AWS SES (engineered to handle 3M+ emails/day), and SMS at enterprise scale.
• Leading platform reliability and observability using Dynatrace (full-stack APM, distributed tracing) and Prometheus/Grafana — ensuring platform health, performance, and service reliability.
• Driving operational excellence through proactive monitoring, vulnerability management, capacity planning, cloud platform utilisation cost reductions, and service performance optimisation.
• Leading resilience engineering, incident management, root cause analysis, and continuous improvement initiatives across the platform.
• Automated provisioning and deployments with GitLab CI/CD, Terraform, and ArgoCD — implementing versioned, governed release pipelines with rollback strategies.
• Integrated messaging systems including AWS SQS and Apache Kafka to support distributed, event-driven workflows and ensure reliable message delivery across microservices.
• Authored and deployed Python-based automation scripts hosted on AWS Lambda for diverse operational use cases, enhancing platform extensibility.

Managed multi-cloud Kubernetes infrastructure and CI/CD platforms, driving deployment velocity and security posture improvements.

• Managed Kubernetes clusters on EKS & AKS, deploying microservices via Helm charts and custom Docker containers with production-grade configurations.
• Designed CI/CD pipelines using GitLab CI reducing deployment times by 80% with automated testing, artifact management, and release governance.
• Implemented HA deployments with Istio service mesh, blue/green deployment strategy, and canary rollouts for zero-downtime releases.
• Automated operational tasks with Python and Bash scripts, streamlining release processes and reducing manual intervention.
• Developed Infrastructure as Code with Terraform for cloud resource provisioning across AWS and Azure — managing state, modules, and drift detection.
• Configured full-stack observability with Prometheus, Grafana, and ELK Stack — custom dashboards, alerting rules, and distributed tracing for microservices.
• Integrated StackRox container security scans into CI/CD pipelines for proactive vulnerability detection, image signing, and runtime threat prevention (DevSecOps).
• Performed Kubernetes cluster upgrades, node scaling, and security patching across multi-cloud environments (EKS, AKS).

Built and maintained large-scale on-premise and cloud infrastructure, managing 10,000+ servers with focus on automation, security, and reliability.

• Automated OS provisioning and application deployments with Cobbler, Puppet, and Ansible across 10,000+ servers — reducing provisioning time from days to minutes.
• Managed Kubernetes clusters (on-prem & AWS EKS) and implemented CI/CD pipelines with ECS and CodePipeline for containerised workloads.
• Administered core Linux services (DNS, DHCP, NTP, SMTP, Proxy) ensuring secure, reliable infrastructure across multiple datacenters.
• Configured HA load balancers (KeepAlived, Nginx) and database clusters (MySQL, PostgreSQL, Redis) with automated failover.
• Performed security patching, vulnerability remediation, and compliance hardening (CIS, STIG) across production environments.
• Managed data backup, disaster recovery procedures, and hardware failure resolution for on-premises infrastructure — maintaining RTO/RPO SLAs.
• Wrote Bash and Python scripts for server validation, enabling thorough pre-provisioning quality assurance testing across infrastructure fleet.
• Troubleshot diverse OS and hardware issues, identifying root causes and implementing effective solutions to maintain system stability and performance.

Managed Linux server fleet in remote datacenters with 99.99% uptime SLA, handling virtualisation, security, and infrastructure operations.

• Managed Linux servers in remote datacenters ensuring 99.99% uptime SLA compliance through proactive monitoring and rapid incident response.
• Configured virtualization platforms (XEN, KVM, OpenVZ) and administered core services (DNS, DHCP, LAMP stack) for hosting clients.
• Performed system monitoring, RAID configuration, and security audits — implementing hardening measures across server fleet.
• Executed server recovery operations including rescue mode, single-user mode, and emergency mode troubleshooting for critical production systems.
• Implemented anti-spam and anti-spoofing measures (SPF, DKIM, DMARC) to secure mail infrastructure.
• Managed file systems, LVM partitioning, disk quota administration, and storage capacity planning.