Position: DevOps Lead, Expert Software Engineer
Category: DevOps
English level: upper
Years of experience: 7

Certifications:
- Azure Certified Administrator (AZ-104) 
- AWS cloud practitioner
- Certified Kubernetes Administrator
Participated in wide range of projects (including complexity, wide range of technologies and frameworks).

By domain:
- consumer electronics
- AI/ML (computer vision, chatbots)
- fintech
- oil and gas industry

By responsibilities:
- expert software engineer/architect
- lead devops/infrastructure management
- mobile development (React Native, Kotlin Multiplatform)

Methodologies:
- Software architecture designing
- Infrastructure planning and designing
- Planning and estimation
- Agile principles
- Wide range of software development including WEB and mobile
- Trunk-based development
- GIT OPS
- ML OPS 

I have wide range of tools and technologies I used for my job including:
- Software development (Python, JS/TS NestJS framework, AngularJS, React Native, Kotlin Multiplaform Mobile, .NET core)
- Infrastructure management (Terraform, Pulumi)
- On-premise (on-premise Kubernetes installation)
- Cloud providers (Azure, AWS)
- CI/CD (Github actions, Jenkins, CircleCI)
- Databases (PostgreSQL (ZomboDB, TimescaleDB), Elasticsearch, MongoDB, Milvus vector database)
- Message brokers (Kafka, RabbitMQ, ZeroMQ)
- Containers orchestration (Kubernetes, Rancher, Kontena, Docker swarm)

Technologies by cloud providers:
- Azure - networking and VNet, storage accounts, VM/VMSS, kubernetes (multi pool), application gateway, app service, container instances, monitor, app insights, automation accounts, budgeting, improvement of costs usages, planning sufficient infrastructure based on costs and resources utilization
- AWS - EKS, ECR, EC2, ALB, NLB, S3, Lambda
I am expecting to work with infrastructure primarily Azure. Due to all cloud providers similarities and some experience I can work also with AWS cloud provider