Senior Platform Engineer AWS Focus

About the role

We are seeking a Senior Platform Engineer to design, build, and evolve AWS cloud and hybrid‑cloud ecosystems for enterprise AI services. The role focuses on delivering secure, reusable, cloud‑native platforms that enable AI teams to develop and operate applications on AWS without recreating infrastructure.

Key responsibilities

• Design reusable AWS AI platform services, products, contracts, and tenancy patterns.
• Architect and deploy production‑ready AWS environments using a landing‑zone approach.
• Deploy, scale, and manage AWS AI/ML services such as Amazon Bedrock, SageMaker, Rekognition, Textract, and Lookout.
• Standardize deployments with Terraform, building versioned modules, platform APIs, SDKs, and automated validation.
• Engineer runtime patterns using EKS, Lambda, containers, EventBridge, queues, streams, and workflow services.
• Implement least‑privilege IAM, workload identity, secrets management, encryption, and private VPC connectivity, automating security controls in pipelines.
• Manage API lifecycles with AWS API Gateway and Kong.
• Design automated GitHub workflows for CI/CD, provide self‑service onboarding templates and reference services, and monitor cloud costs to prevent budget overruns.

Required profile

• 5+ years of experience in the AWS ecosystem.
• Expert‑level proficiency with Terraform and cloud architecture.

Required skills

• AWS (including VPC, IAM, CloudWatch, Direct Connect, Route 53)
• Terraform
• Amazon Bedrock, SageMaker, Rekognition, Textract, Lookout
• EKS, Lambda, containers
• EventBridge, queues, streams, workflow services
• API Gateway, Kong
• GitHub Actions and CI/CD pipelines
• FinOps and cloud cost monitoring