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in Slovakia

Windows Administration(AD,DC) Administering, supporting, and optimizing the cloud infrastructure(Openstack,GCP,AWS) Developing and maintaining automated CI/CD pipelines for application deployment(Gitlab,Bitbucket) Sharing and documenting knowledge(Jira) Proactively solving problems Optimizing and automating workflows(Ansible,Terraform) Ensuring compliance with security and architectural guardrails(Sonarqube,scanners) Working closely with other (application development) teams in an international environment Ensuring that monitoring and observability overall of the environment is in working state (Prometheus,Grafana,Loki,Elasticsearch,Kibana)

Not many people can say they ran their own ISP (Internet Provider) business. I had been doing it for 10 years. Nowadays, I run a consulting DevOps studio with focus in AI workloads in Kubernetes. I'm the founder of Berops and with my team we solve the challenges of model training and inference in Kubernetes. We work with the AI orchestrators like Ray, vLLM and LLM-d. Our services are used by AI startups like mixedbread.ai, where we setup dynamic autoscaling production clusters with large footprint (100+ GPU nodes in the inference cluster), serving their large enterprise customers. At Berops we developed Claudie (github.com/berops/claudie). It is mainly used for running AI workloads in Kubernetes. Claudie's niche is a low-friction integration of affordable GPU-oriented neocloud providers in a single Kubernetes cluster. Our customers claim that it saves them up to 78% infra costs when compared to AI-dedicated PaaS solutions or using GPUs from the top 3 hyperscalers (AWS, Azure, GCP). When we first heard that even we found it hard to believe. Whether it comes down to our Claudie Kubernetes or any other Kubernetes distribution, the tools we use daily: - AI orchestrators (vLLM, LLM-d, Ollama, Ray, RayCluster, RayServe) - GitOps (Flux v2, ArgoCD, Ansible) - Service-meshes (Cilium, Istio) - Observability (Splunk, ELK, Loki, Grafana, Prometheus, Thanos, Mimir) - Tracing (Jaeger, Zipkin) - Configuration management (Kustomize, Helm, YTT, Cuelang) Personally, I'm Google Professional Cloud Architect certified, Google Professional DevOps Engineer certified, and members of my team are Terraform, Google Cloud, Cisco Networking, Istio, and Kubernetes certified (CKA, CKAD, CKS). Let's have a quick intro.

DevOps Engineer with a proven track record in troubleshooting and ensuring optimal system performance. Passionate about Kubernetes, Docker, and monitoring tools such as Grafana, Prometheus, and the ELK stack. With a strong penchant for continuous learning, I am always eager to explore and integrate new technologies into real-world applications. My passion extends beyond routine tasks, as I consistently aim to transform manual processes into efficient automated solutions, leveraging my expertise in Bash and Python scripting. I believe that a fusion of technological curiosity and a drive for innovation is the key to evolving in today's fast-paced digital environment

Experienced DevOps Engineer specializing in cloud infrastructure, CI/CD, and automation. Proficient in AWS, Kubernetes, Terraform, and Docker, I streamline deployments and optimize system performance. Let’s build scalable, secure, and efficient solutions together!