Hi, my name is
Eray Alp.
▍
I'm a Software Engineer specializing in Infrastructure and Applied AI. I design, build and operate cloud-native systems that power production services and ML workloads, with a focus on reliability and scale.
Building at the intersection of software, AI and infrastructure.
Hey there! I'm someone who genuinely enjoys architecting systems and thinking through how complex components fit together. I focus on how these systems are designed, connected, and operated under real-world constraints like scale, latency, and reliability.
Currently a Junior DevOps Engineer at Codeway, where I work across DevOps/SRE, platform engineering, and MLOps, building the cloud-native infrastructure, observability, and ML platform behind AI-powered apps used by 500M+ users.
Previously, at sahibinden.com, one of Turkey's largest marketplaces, I helped move high-traffic production systems from rule-based logic to LLM-powered services, building scalable inference pipelines with evaluation and monitoring.
Before that, at Insider One, I worked on production-scale semantic search, plus large data ingestion pipelines, vector indexing, and hybrid retrieval systems.
My key areas of interest
- +DevOps/SRE, Infrastructure & Platform
- +MLOps, AI Inference & Training, LLMs
- +Data Pipelines & Streaming Analytics
- +Cloud Computing & Distributed Systems
Tools & Technologies
- Kubernetes
- Docker
- Terraform
- GCP
- AWS
- Go
- Python
- Linux
- Git
- PyTorch
- FastAPI
- TypeScript
Where I've shipped
Junior DevOps Engineer @Codeway
- +Contributed across DevOps/SRE, platform engineering, and MLOps to build and operate the cloud-native, multi-cluster Kubernetes platform behind Codeway’s global, AI-powered apps used by 500M+ users.
- +Lead the migration from fragmented per-cluster monitoring to a centralized, OpenTelemetry-based observability platform, aggregating metrics, logs, and traces from 9 Kubernetes clusters into a single, highly-available stack.
- +Operated GitOps continuous delivery of services and ML workloads with ArgoCD.
- +Helped operate an MLOps platform running 200+ GPUs across H100/A100-based nodes on GKE, serving ~50 AI/data-science users alongside large-scale production image-generation model training and inference workloads.
- +Managed GPU scheduling, capacity and autoscaling across node pools to raise utilization and cut cost.
- +Authored and maintained reusable Infrastructure-as-Code (IaC) modules (Terraform/Terragrunt) managing 100+ GCP projects, plus a GitLab CI/CD component catalog adopted org-wide.
- +Built self-service developer platform (Backstage) templates over our IaC modules and CI/CD components, letting developers provision their own infrastructure and deployments.
Get In Touch
If you want to talk about opportunities and collaboration, my inbox is always open. Whether you have a question or just want to say hi, I’ll try my best to get back to you!