Istanbul, Türkiye
As an Individual Contributor, I am shaping my career as a backend developer and cloud-focused engineer, aiming to specialize in high-concurrency, real-time platforms. My primary focus is ensuring exactly-once balance updates without loss or duplication, designing reliable distributed systems, and implementing event-driven architectures. Throughout my journey, I have been developing microservice-based applications with Go and Java, while designing distributed infrastructures using Kubernetes, Amazon EKS, and container technologies. I have hands-on experience across multi-cloud environments including AWS, Azure, GCP, Huawei, and Alibaba Cloud, and strengthen my expertise through various international certifications. 🔧 My key technical focus areas include: Cloud-Native Architecture & Distributed Systems Vertical & Horizontal Scaling, Concurrency, Parallelism Message Brokers (Kafka, RabbitMQ, ActiveMQ, AWS SQS) Infrastructure as Code (Terraform, IaC) CI/CD (GitHub Actions, GitLab, ArgoCD, Spinnaker) Serverless Framework, Container Orchestration Monitoring & Observability (New Relic, Grafana,CloudWatch) Security & IAM (least-privilege policies, VPC, secure networking) Unit Testing / Container Testing / Integration Testing 🚀 In my projects, I emphasize clean code principles, secure and observable cloud architectures, automation, and reliability optimization. I also keep up with the latest technology trends and actively contribute to the community by publishing technical content on Medium, Substack, and Dev.to. 🎯 My goal is to advance my expertise in backend development, DevOps practices, and cloud platforms at the L4 level, building high-performance solutions for large-scale distributed systems and driving technical leadership in organizational transformation initiatives. https://medium.com/@ozcankaraa https://github.com/ozcankaraa https://github.com/ozcan-kara
Delivered solutions across 12+ projects in multi-cloud environments (AWS, GCP, Azure) Designed and managed Kubernetes-based platforms with auto-scaling (Karpenter), improving cost efficiency by up to 30% Built advanced CI/CD & GitOps pipelines (Argo CD, Tekton, GitHub Actions) reducing deployment time by 40%+ Implemented L4/L7 load balancing (HAProxy, NGINX Ingress) for high-traffic systems Optimized database and API performance, reducing latency by ~25% Developed high-performance Golang backend services for scalable systems Applied Blue-Green & Canary deployments to ensure zero-downtime releases Built workflow automation systems using n8n Implemented observability stack (Prometheus, Grafana, Jaeger) for system monitoring Worked on systems handling 10K+ requests/min traffic Contributed to AI-supported backend systems and automation workflows
In this role, I developed high-performance platform services using Golang and Java, and automated operational workflows using Bash and Python. I actively worked on containerizing applications with Docker and managing, deploying, and scaling workloads on Kubernetes. I defined and managed cloud infrastructure using Terraform (Infrastructure as Code) and implemented configuration and deployment automation with Ansible. To enhance system observability and reliability, I set up monitoring and logging solutions using the Elastic Stack (ELK) and internal tools, enabling proactive detection and resolution of potential issues. I designed and implemented microservice-based architectures, managing inter-service communication using RabbitMQ. I was also actively involved in projects leveraging Istio for service mesh, as well as Tekton for CI/CD pipelines and deployment automation. At Alingerr, I took responsibility for testing and validating code developed as part of AI integrations. I handled assigned tasks end-to-end, including development, integration, testing, and deployment, ensuring smooth delivery and system stability.
I provide backend and DevOps consulting services for global clients, focusing on API design, cloud deployment, and microservice scalability. I develop production-ready services using Go and Java, leveraging AWS and GCP environments for deployment and monitoring.Tech: Go, Kubernetes, Java, Docker, AWS, GCP, PostgreSQL, Redis, GitHub Actions