• Must have 3-4 years of experience as a DevOps Engineer. 
• Must be fluent in speaking English.

Must have the following skills:

1. AWS (Amazon Web Services)

Hands-on experience in configuring, administering, and maintaining cloud services, including:

• EC2 (instance management and scalability),
• IAM (user, group, policy, and permission management),
• Secrets Manager (secure storage of credentials and secrets),
• ECR (management of private Docker image repositories),
• Security Groups and VPC (network security and environment segmentation),
• S3 (object storage, versioning, and access policies),
• Route 53 (DNS management and load balancing),
• Lambda (serverless function execution),
• RDS (managed database administration, especially PostgreSQL),
• CloudWatch (monitoring, metrics, and alerts).

2. CI/CD (Continuous Integration and Continuous Delivery)

• Designing, implementing, and maintaining automated build, test, and deployment pipelines.
• Strong knowledge of versioning practices, code review processes, and delivery automation.

3. Jenkins

• Creation, configuration, and maintenance of declarative and freestyle pipelines.
• Integration with source control tools (GitLab, GitHub, Bitbucket).
• Management of agents, distributed execution, and automation of complex workflows.

4. Kubernetes

• Cluster administration, preferably in k3s or EKS environments.
• Deployment of microservices in containers, troubleshooting pods, nodes, and services.
• Experience with YAML manifests, Helm, and Kustomize.
• Implementation of best practices for security, scalability, and high availability.

5. Monitoring and Observability

• Implementation and maintenance of dashboards and alerts with Grafana.
• Log collection and analysis with Loki.
• Metrics monitoring with Prometheus.
• Ability to propose improvements in system visibility and reliability.

6. GitOps

• Proficiency with GitOps workflows for automated deployments and infrastructure as code management.
• Experience with tools such as ArgoCD or FluxCD.

7. Docker

• Creation and optimization of lightweight and secure images.
• Container management across development, staging, and production environments.
• Best practices in versioning and publishing to private registries (e.g., AWS ECR).

8. Python

• Development of automation scripts to support DevOps processes.
• Integration with AWS APIs and services.
• Building auxiliary tools for pipelines and monitoring.