Orçun Şener

Senior SRE / Platform Engineer focused on reliable infrastructure, observability, automation, and AI-assisted engineering workflows.

I work across Linux, Kubernetes, Docker, CI/CD, observability, incident response, and infrastructure automation. Recently, I have been building practical AI-assisted development and automation systems with a strong focus on reproducibility, operational safety, and cost-aware workflows.

Current focus

• SRE, DevOps, and platform engineering
• Kubernetes, Docker, Linux, CI/CD, and observability
• Prometheus, Grafana, Coroot/eBPF, ClickHouse, Zabbix
• AI-assisted development workflows with Claude Code, Codex, and local automation tooling
• Self-hosted automation and infrastructure control planes

Selected public work

• lovie-afb-assignment — reviewer-friendly fintech assignment implementation with explicit specs, E2E evidence, production demo, and AI-assisted engineering notes.
• Agentic-Infra-Notes — sanitized notes on AI-assisted infrastructure, agentic workflows, LLMOps, self-hosted automation control planes, and local fine-tuning infrastructure experiments.

Private R&D

I maintain private R&D projects around AI-assisted infrastructure, agentic development workflows, and self-hosted automation control planes.

Agents-Core

Private multi-agent engineering workflow project focused on:

• task routing between local and cloud models
• context budget control
• prompt/interface boundaries
• human-in-the-loop checkpoints
• reproducible agent workflows

Aegis-Forge

Private infrastructure/control-plane project focused on:

• self-hosted automation environments
• observability-first workflow execution
• secure configuration boundaries
• operational runbooks
• reusable automation building blocks

Engineering principles

• Prefer reproducible setups over manual configuration.
• Make operational behavior visible through metrics, logs, traces, and runbooks.
• Keep automation boring, testable, and reversible.
• Use AI agents as engineering accelerators, not as uncontrolled code generators.

Core stack

Linux · Kubernetes · Docker · Rancher · OpenShift · GitLab CI/CD · Jenkins · Azure DevOps
Prometheus · Grafana · Coroot · ClickHouse · Zabbix · ELK · AppDynamics
PostgreSQL · Redis · Kafka · Bash · Python · TypeScript
Trivy · Snyk · Infisical · Cloudflare · HAProxy

AI / LLM infrastructure: Hugging Face · vLLM · LiteLLM · Qdrant · Weaviate · Ollama · Dify · n8n
AI-assisted engineering: Claude Code · OpenAI Codex · Windsurf · MCP · Playwright

Contact

For professional inquiries, the best way to reach me is via LinkedIn:

• https://www.linkedin.com/in/orcunsener