Hello! I’m Sadi Kirkbes, a DevOps Engineer with over 7 years of experience shaping cloud infrastructure, CI/CD automation, and containerization. I thrive on turning manual provisioning into repeatable, reliable pipelines, and I’m driven by improving system reliability, security, and performance. I enjoy collaborating with cross-functional teams to streamline deployments, implement GitOps, and build observable systems using Prometheus, Grafana, and Sentry.…

Sadi Kirkbes

Hello! I’m Sadi Kirkbes, a DevOps Engineer with over 7 years of experience shaping cloud infrastructure, CI/CD automation, and containerization. I thrive on turning manual provisioning into repeatable, reliable pipelines, and I’m driven by improving system reliability, security, and performance. I enjoy collaborating with cross-functional teams to streamline deployments, implement GitOps, and build observable systems using Prometheus, Grafana, and Sentry.…

Available to hire

Hello! I’m Sadi Kirkbes, a DevOps Engineer with over 7 years of experience shaping cloud infrastructure, CI/CD automation, and containerization. I thrive on turning manual provisioning into repeatable, reliable pipelines, and I’m driven by improving system reliability, security, and performance.

I enjoy collaborating with cross-functional teams to streamline deployments, implement GitOps, and build observable systems using Prometheus, Grafana, and Sentry.

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Language

Work Experience

DevOps Engineer at Oreon Development
July 1, 2022 - Present
Architected scalable infrastructure on AWS using Terraform, reducing manual provisioning time by 40%. Automated CI/CD pipelines with Jenkins, achieving 30% faster deployments. Implemented GitOps with ArgoCD & Helm for reliable, version-controlled deployments. Integrated Microsoft Entra ID for secure access control across services. Automated static code analysis using SonarQube, reducing code defects by 25%. Deployed Prometheus and Grafana for observability, leading to a 90% faster incident response. Configured Nginx for load balancing, improving latency and availability. Deployed RabbitMQ for improved microservices communication. Configured Tailscale VPN for secure and private network connectivity.
DevOps Engineer at ROKIT
January 1, 2020 - July 1, 2022
Built CI/CD pipelines via GitHub Actions for end-to-end automation. Deployed and scaled microservices on GKE, improving system resilience and auto-scaling capabilities. Utilised Google Cloud Build and Artifact Registry for streamlined container workflows. Implemented GitOps deployments with ArgoCD and Helm on on-prem servers and GKE for cloud-native workloads. Designed and managed GCP infrastructure using Terraform, optimising resource allocation and reducing cloud costs by 20%. Integrated SonarQube and Sentry into pipelines for quality and performance monitoring. Enabled secure authentication with Keycloak across applications.
DevOps Engineer at Zaurac IT Development
July 1, 2018 - January 1, 2020
Implemented Jenkins CI/CD pipelines for AWS ECS and on-prem Kubernetes, reducing manual work by 30%. Containerized applications using Docker (AWS ECR + private registries), ensuring environment parity. Deployed Prometheus/Grafana for hybrid infrastructure monitoring, cutting incident detection time by 40%. Migrated legacy systems to on-prem Kubernetes and adopted AWS Lambda for serverless solutions. Automated AWS (EC2, RDS, S3) provisioning via Terraform, optimising costs for SaaS products.

Education

Systems Engineer at Military Academy
January 1, 2007 - December 18, 2025

Qualifications

Professional Cloud DevOps Engineer Certification (GCP)
January 1, 2025 - December 18, 2025
HashiCorp Certified- Terraform Associate (HCL)
January 1, 2025 - December 18, 2025
AWS Certified Developer – Associate (AWS)
January 1, 2022 - December 18, 2025

Industry Experience

Software & Internet, Computers & Electronics, Professional Services
    paper Scalable CI/CD & Infrastructure Automation for n8n on GKE

    I designed and implemented an end-to-end CI/CD pipeline for n8n running on Google Kubernetes Engine (GKE), fully automated using Terraform and Google Cloud Deploy.
    This pipeline enables developers to push code from their local environment and have it automatically built, tested, packaged into a Docker image, and deployed to GKE workloads.