Senior Cloud Platform Engineer: AWS, Kubernetes & IaC

Mastercard Inc.

København

On-site

DKK 900,000 - 1,200,000

Full time

5 days ago
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Job summary

Mastercard is seeking a Senior Cloud Software Engineer to drive our customer experience strategy by innovating and solving complex problems within our Global Open Banking platform. You will join a collaborative, fast-moving team that values curiosity, quality, and accountability across regions.

In this role you will design and implement scalable cloud infrastructure on AWS, manage large Kubernetes clusters, and develop infrastructure as code using Terraform and scripting in Python, Bash, or Go.

Qualifications

  • Experience with AWS Cloud and cloud-native architectures.
  • Kubernetes experience with large clusters and cluster lifecycle management.
  • Infrastructure as Code using Terraform and scripting (Python/Bash/Go).
  • Participation in code review and deployment processes.
  • Experience with backup/restoration of Kubernetes clusters.
  • Creative yet simple solution design.

Responsibilities

  • Participate in implementing new systems and develop processes, tools, and frameworks for cross-team effectiveness.
  • Plan and execute maintenance, upgrades, and migrations across Dev, Stage, and Prod environments.
  • Design and develop resilient, scalable infrastructure to avoid downtime and service interruptions.
  • Interface with external logging, monitoring, and security vendors.
  • Build infrastructure as code and container images in Docker.
  • Mentor and support junior team members.

Skills

AWS Cloud
Kubernetes
Terraform
Python
Go
CI/CD
Security

Tools

Docker

Job description

Mastercard is seeking a Senior Cloud Software Engineer to drive our customer experience strategy by innovating and solving complex problems within our Global Open Banking platform. You will join a collaborative, fast-moving team that values curiosity, quality, and accountability across regions.

In this role you will design and implement scalable cloud infrastructure on AWS, manage large Kubernetes clusters, and develop infrastructure as code using Terraform and scripting in Python, Bash, or Go.

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