Overview
In this role you will engineer and maintain cloud-based infrastructure for data and AI platforms, focusing on cost-effective, scalable solutions. You will drive automation and self-service capabilities within AWS, shaping a resilient data platform that supports a first-class customer experience. You’ll work with architecture teams to translate designs into secure cloud solutions and promote platform-wide engineering standards. This role offers impact by advancing the bank’s AWS data platform and Platform-as-a-Product initiatives.
Responsibilities
- Develop and maintain Infrastructure-as-Code patterns and CI/CD pipelines across AWS
- Support secure, scalable data platform services using S3, Glue, Lake Formation and SageMaker Unified Studio
- Translate designs into reusable cloud platform solutions with architecture teams
- Review deployment documentation and establish base builds for development environments
- Create and execute technical test plans and runbooks for system deliveries
- Build UAT environments and manage infrastructure updates during migrations
- Promote engineering standards and Platform-as-a-Product principles across multiple feature teams
Key requirements
- Infrastructure engineering experience
- Terraform or similar IaC tool experience
- Hands-on AWS experience with S3, Glue, Lake Formation, SageMaker Unified Studio
- Understanding of data governance, security, and access management in cloud environments
- Ability to design and implement secure, reusable self-service platform capabilities
- Experience contributing to roadmaps, working with third parties, and delivering on timelines
- collaboration
- influencing skills
- communication
- Terraform
- Infrastructure-as-Code (IaC)
- AWS S3
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