Position: DevOps engineer
Category: DevOps
Experience: 7 years | English: fluent

•	Managed a team of 10 DevOps engineers, leading all DevOps-related procedures, building roadmaps, planning, estimating, and establishing all the necessary DevOps practices, including the full SDLC process.
•	Managed high-load ECS, GKE, and EKS clusters with custom scaling policies and using spot instances.
•	Created and maintained many crypto nodes (already established ones like Ethereum and new ones like Venom).
•	Successfully deployed the Graphsense tool in the Google Cloud Platform and managed it on 8 nodes (nodes included a fully working Apache Spark and Cassandra stack).
•	Reduced AWS costs by 40% through optimizing cloud resource usage.
•	Built a complete roadmap and led the process of moving from on-premises monolith to a cloud-based microservice architecture in the Kubernetes cluster.
•	Dealt with a large number of workloads in GKE and optimized resource usage by transitioning from Google's monitoring and logging solution to Loki logging solution and Mimir monitoring solution for 70k customers, resulting in a 58% cost reduction.
•	Switched from ELK stack to Clickhouse Vector setup to reduce log storage space.
•	Moved 75,000 customer workloads from a legacy infrastructure setup to a new one without downtime.
Confident DevOps manager with exemplary expertise in secure, rapid deliverable, reliable, highly available environments. Managed a team of 10 DevOps engineers. Moved a monolithic application to a microservice architecture. Helped many teams and led the process of moving from on-premise to the cloud, reducing operational costs in the cloud and deployment process time. Fixed and improved many already-built environments and added the blue-green deployment technique. Most of the infrastructure was provisioned using Infrastructure as Code (IAC). Implemented SRE disciplines in already running environments. Deployed many blockchain-based applications and provisioned a huge number of blockchain nodes, ranging from the most popular to newly established ones. Deployed a Graphsense cluster that included Spark and Cassandra components for blockchain ingest in GCP. Supported many Crypto projects and fully provisioned their environments. Created Terraform code that could bootstrap the entire environment in 3 providers (Gcloud, Hetzner, Yandex Cloud) with a single Terraform apply. 

More than 5 years of solid experience in major cloud provider AWS (Extensive experience in main services) 
Experience with IAC tools like Terraform (With the use of Terragrunt) and Cloudfromation
CI/CD experience with tools like Github actions Gitlab CI , CodeBuild, Codepipeline, Bitbucket CI, TeamCity, Jenkins,
Solid experience with Ansible
Custom AMI creation using HashiCorp Packer tool.
Substantial experience in container orchestration tools AWS ECS(Instances and tasks AutoScaling ) and EKS(Spot instances together with cluster AutoScaler). 
Hands-on experience in main Kubernetes services(Deployment, Service, Daemon Set, StatefulSets,ConfigMap, RBAC, Ingress, PV, Service Accounts,ConfigMaps/Secrets,Kustomization, Pod autoscaling)
Ingress (Nginx and Traefik)
Web-Servers: Nginx, Apache
Highly experienced in following Logging solutions: Graylog(Deployed as a standalone and as docker containers), CloudWatch, ELK(Deployed in both Kubernetes and as a separate ElasticSearch cluster on VMs and as a managed AWS service)
Monitoring solutions: Prometheus+Grafana, Sentry 
Databases: ElasticSearch, Redis, MongoDB, Cassandra
VCS: Gitlab, Github, Bitbucket
I am not interested in companies that use any kind of tracking software.
I don't want to jump between projects and clients.
Looking for a project in the range of 4500-7000 $ depending on the load level