Senior AWS Devops Engineer

Senior AWS DevOps Engineer

We are looking for an experienced Senior AWS Cloud Engineer/DevOps Engineer to join our team and help design, build, and maintain modern cloud infrastructure. If you feel at home working with AWS, Kubernetes, and automation tools — we'd love to hear from you!

Daily Tasks/Responsibilities:

• Design and implement Infrastructure as Code using tools like AWS CloudFormation, Terraform
• Maintain version-controlled infrastructure templates.
• Automate infrastructure provisioning and updates.

CI/CD Pipeline Implementation:

• Set up and maintain CI/CD pipelines using tools like: Jenkins, GitHub Actions
• Automate code building, testing, and deployment

Containerization and Orchestration:

• Manage Docker-based deployments.
• Set up and manage OpenShift/Kubernetes (EKS) or ECS clusters.
• Automate container builds, deployments, and rollbacks.

Release and Deployment Management:

• Manage software releases and deployments across environments.
• Roll back changes when necessary and manage deployment risks.

Performance Optimization:

• Identify and resolve performance bottlenecks in applications and infrastructure.
• Use tools like CloudWatch Metrics, AWS Lambda Insights, and RDS Performance Insights

Join us if you have:

• Core AWS & Cloud Architecture: Strong expertise in AWS services: EC2, Auto Scaling, ALB/NLB, VPC (subnets, routing, NAT, peering, Transit Gateway), IAM (roles, policies, least privilege), S3, DynamoDB, CloudFront. Experience with multi-account setups using AWS Organizations, Cost optimization best practices in cloud environments.
• Infrastructure as Code: Proficiency with Terraform, Ability to write clean, reusable modules, Experience with remote state management, Clear separation of environments (dev/stage/prod)
• CI/CD & Automation: Hands-on experience with GitHub Actions, Jenkins, or similar tools, Knowledge of ArgoCD/Flux or other GitOps solutions, Helm and Kubernetes deployment strategies
• Containers & Kubernetes: Docker (building, optimizing, debugging images), Helm charts, Understanding of Kubernetes networking (ingress, basic service mesh concepts), Security policies within Kubernetes, Autoscaling (HPA, cluster autoscaler)
• Language Skills: Very good command of English
• Soft Skills: Ownership – you take responsibility for production systems, Architecture Thinking – you anticipate failures before they happen, Communication – you can clearly explain infrastructure concepts to developers and stakeholders