Position: Lead/Senior DevOps Engineer
Category: DevOps
English level: upper
Years of experience: 8

Build the Data Observability SaaS solution from scratch. Desined and implemented: network architecture, microservice ssingle tenant deployment on top of k8s(ArgoCD), observability platform based on Prometheus stack/NewRelic/PagerDuty, infrastructure as code based on Terraform, security pipelines(dependency scanning, image scanning, code scanning), SOC2 certification. 
Decrease the time of new client roll out from 30m to 7m.
Improve the stability the speed of the CI/CD based on Gitlab SaaS solution.
Analyze and decrease the infra costs(x1.5 times) - use flexsave, automate dev envs cleanup, and reserve cloudsql instances.
Migrated from dev env based on Packer/docker-compose solution to feature environments deployment based on helm/helmfile deployment.
Migrate from Gitlab CD(based on helmfile) to GitOps(based on ArgoCD).
Develop and implement solutions for on-prem clients, based on docker-compose and bash scripts.
Overall 10 years in IT, 8 years as Devops/SRE. Worked in different companies: big enterprises and startups. Have very good soft skill, good in building infra architecture from scratch. 
Worked both with GCP/AWS, GKE/EKS.
Ready for Lead role or for Senior position.
Small/middle-size companies, prefer startups, remote work, implementation infra from scratch or migration from old platform to new, cloud only, kubernetes or migration to kubernetes.