Scope

Design, build, and operate a scalable, Kubernetes-based AWS cloud platform for AI workloads, ensuring secure, automated, and highly available infrastructure across development, QA, and production environments.

Tasks

- Design and manage AWS infrastructure using Terraform, EKS, and Kubernetes.
- Build and maintain CI/CD and GitOps pipelines (GitHub Actions, ArgoCD).
- Implement security, monitoring, and cost optimization across the AWS platform.
- Integrate AWS AI/ML services and support AI agent platform deployments.
- Collaborate with platform and ML teams to onboard and operate AI workloads.

Skills

- Strong hands-on experience with AWS (EKS, IAM, VPC, ALB, Route 53, Terraform) and Kubernetes administration.
- Expertise in Infrastructure as Code, GitOps, CI/CD, and cloud security best practices.
- Experience with observability tools (Prometheus, Grafana,



CloudWatch) and AWS AI services (Bedrock, SageMaker).
- Knowledge of FinOps, Kubernetes security, and multi-setting cloud architectures.
- AWS Solutions Architect certification (Associate or Professional) and fluent English.

Details

- Start: ASAP
- End: 31.12.2026 (+extension)
- Capacity: 100% : 5 days per week
- Location: Bangalore, India (1-2 days Remote per week can be an option)
- Language: English (fluent)

Telephone interviews with our customer can be arranged at short notice, with a quick decision afterwards. If you are interested in this project or if you can recommend someone for it, please feel free to contact me.

📌 Sr AWS Cloud Engineer / ASAP / 5 months / Bangalore, India (Karnataka)
🏢 RED Global
📍 Karnataka