Senior DevOps Engineer: Cloud-Native Automation & CI/CD

London Stock Exchange Group

Gdynia

On-site

PLN 160,000 - 252,000

Full time

14 days+
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Job summary

London Stock Exchange Group is seeking a Senior DevOps Engineer to build scalable, secure cloud infrastructure and lead automation across multiple projects. You will implement modern DevOps practices and contribute to the evolution of our cloud-native platform.

You will automate infrastructure using Terraform, manage GitLab-based pipelines, and deploy workloads across AWS and Azure while maintaining strict security standards and high availability.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
  • 4+ years in DevOps or platform engineering roles.
  • Proven experience building and operating cloud-native platforms.

Responsibilities

  • Automate full-stack infrastructure using Terraform and GitLab workflows.
  • Build and maintain CI/CD pipelines with GitLab CI to enable fast, secure deployment.
  • Deploy and manage workloads in AWS ECS/EKS and Azure AKS.
  • Implement monitoring and alerting for high availability and performance.
  • Collaborate with external teams to align with security and business goals.
  • Follow corporate processes and best practices.
  • Continuously improve systems through automation and optimization.
  • Work across multiple projects with varied architectures.

Skills

Terraform
GitLab CI
AWS
Kubernetes
Python
Security best practices
Automation
DataDog

Education

Bachelor’s degree in Computer Science, Engineering, or equivalent experience

Tools

CloudFormation
Jenkins
Terraform
GitLab CI
Docker
Kubernetes
Azure

Job description

London Stock Exchange Group is seeking a Senior DevOps Engineer to build scalable, secure cloud infrastructure and lead automation across multiple projects. You will implement modern DevOps practices and contribute to the evolution of our cloud-native platform.

You will automate infrastructure using Terraform, manage GitLab-based pipelines, and deploy workloads across AWS and Azure while maintaining strict security standards and high availability.

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