Senior AWS Platform Engineer (m/f/d)
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Key skills for this role
About the Role
Halian seeks a Senior AWS Platform Engineer to design and scale AWS-based cloud platforms for AI-powered applications. You will build AWS landing zones, standardize infrastructure, and integrate AI/ML services.
Key Skills for This Role
Responsibilities
- Design and deploy AWS landing zone architectures for enterprise use.
- Implement and manage infrastructure via Terraform.
- Build and support CI/CD pipelines using GitHub Actions or similar tools.
- Deploy and manage AWS AI/ML services (Bedrock, SageMaker, etc.).
- Oversee API lifecycle management using AWS API Gateway and/or Kong.
- Design and manage cloud networking architectures (VPC, subnets, Direct Connect).
- Drive FinOps practices to optimise cloud usage and spend.
- Implement monitoring, logging, and alerting frameworks.
- Collaborate with engineering teams to support AI and digital application delivery.
Requirements
- 5+ years of experience in the AWS ecosystem.
- Strong expertise in Terraform and Infrastructure as Code.
- Experience with GitHub Actions or equivalent CI/CD tools.
- Hands on experience with AWS AI/ML services (Bedrock, SageMaker).
- Strong networking expertise (VPC design, routing, connectivity).
- Experience with API Gateway or Kong.
- Understanding of FinOps and cloud cost optimisation.
- Strong analytical and problem solving skills.
Full Job Posting
Role Overview
- We are seeking a Senior Platform Engineer to design and scale AWS based cloud platforms within a fast paced enterprise environment.
- This role focuses on enabling AI powered applications, ensuring high levels of security, scalability, and operational efficiency.
- You will play a key role in building AWS landing zones, standardising infrastructure, and integrating advanced AI/ML services while maintaining strong governance and cost optimisation.
Key Responsibilities
- Design and deploy AWS landing zone architectures for enterprise use.
- Implement and manage infrastructure via Terraform.
- Build and support CI/CD pipelines using GitHub Actions or similar tools.
- Deploy and manage AWS AI/ML services (Bedrock, SageMaker, etc.).
- Oversee API lifecycle management using AWS API Gateway and/or Kong.
- Design and manage cloud networking architectures (VPC, subnets, Direct Connect).
- Drive FinOps practices to optimise cloud usage and spend.
- Implement monitoring, logging, and alerting frameworks.
- Collaborate with engineering teams to support AI and digital application delivery.
Required Skills & Qualifications
- 5+ years of experience in the AWS ecosystem.
- Strong expertise in Terraform and Infrastructure as Code.
- Experience with GitHub Actions or equivalent CI/CD tools.
- Hands on experience with AWS AI/ML services (Bedrock, SageMaker).
- Strong networking expertise (VPC design, routing, connectivity).
- Experience with API Gateway or Kong.
- Understanding of FinOps and cloud cost optimisation.
- Strong analytical and problem solving skills.
- Ability to work in enterprise, multi team environments.
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