5+ years of experience in configuring, maintaining and troubleshooting AWS-based production systems
Hands-on experience with AWS services like EC2, S3, Lambda, RDS, ECS, EKS, VPC, CloudFormation and IAM
Strong knowledge of AWS networking services: VPC, Route 53, Direct Connect, Load Balancer, API Gateway, Security Groups and more
Practical experience with Kubernetes (EKS) and container orchestration in AWS
Solid understanding of monitoring tools (e.g., CloudWatch, Data Dog, Prometheus) and setting up performance alerts and optimization
Experience with Infrastructure-as-Code tools like Terraform or AWS CloudFormation
Proven ability to implement CI/CD practices using tools like GitHub Actions, Jenkins or AWS CodePipeline
Knowledge of cloud security best practices such as IAM, encryption and secure access control
Experience with scripting languages (e.g., Python, Bash or Shell) to automate and improve cloud operations
Familiarity with AWS Cost Management tools and cost optimization strategies
Proactively identify areas for improvement, drive automation and contribute to architectural decisions
Excellent communication skills and experience collaborating with cross-functional teams ensuring successful deployments and alignment with business needs
English proficiency at B2 level or higher
Python/Go knowledge is a plus
Native AI cloud services: AWS Bedrock, Google Vertex AI, Azure AI
Experience designing, building, and operating AI agents and agentic frameworks
Coding Agents: Claude Code, OpenCode, Cursor, Trae, Antigravity