Senior AWS Engineer: Cloud, GenAI & Automation

Capgemini

Melbourne

Hybrid

AUD 120.000 - 170.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Hybrid working
Celebrate portal
250k courses

Zusammenfassung

Capgemini is hiring an AWS Engineer in Melbourne to design, build and automate secure, scalable AWS environments supporting cloud transformation projects. You will work across EC2, VPC, networking, security, and governance, leveraging IaC tools to drive DevOps and modernisation initiatives.

You will collaborate with architects and client stakeholders, applying Bedrock integration and GenAI considerations while delivering robust cloud platforms and automated deployment pipelines.

Qualifikationen

  • Hands-on AWS engineering across core compute, networking and security.
  • Experience designing and building landing zones in enterprise environments.
  • Knowledge of Amazon Bedrock.
  • Familiarity with SDLC and DevOps, CI/CD tooling.

Aufgaben

  • Design and implement AWS landing zones, including account structure, networking, security guardrails and governance
  • Build and maintain infrastructure across EC2, VPC, load balancing and auto scaling
  • Automate everything as code using CloudFormation and CDK
  • Work with Amazon Bedrock to support GenAI workloads and integrations
  • Embed into delivery teams and uplift DevOps and SDLC practices, including CI/CD pipelines, source control and environment management

Kenntnisse

AWS engineering
Landing zones
Cloud infrastructure
DevOps practices
CI/CD tooling
Amazon Bedrock
Security controls
Networking
Automation

Tools

CloudFormation
CDK

Jobbeschreibung

Capgemini is hiring an AWS Engineer in Melbourne to design, build and automate secure, scalable AWS environments supporting cloud transformation projects. You will work across EC2, VPC, networking, security, and governance, leveraging IaC tools to drive DevOps and modernisation initiatives.

You will collaborate with architects and client stakeholders, applying Bedrock integration and GenAI considerations while delivering robust cloud platforms and automated deployment pipelines.

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