Remote Cloud Infrastructure Engineer | AWS/SRE & DevOps

TPF | The Payments Factory

Lisboa

Híbrido

EUR 45 000 - 65 000

Tempo integral

14 dias+
Gerador de candidaturas

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Vantagens oferecidas por esta oferta de emprego

Competitive salary
Work from home policy
Lunch allowance
Transport allowance
Wellness allowance
Extra days of paid leave allowance

Resumo da oferta

A fintech solutions provider in Lisbon is seeking an experienced Infrastructure Engineer to design, build, and maintain scalable cloud infrastructure. This role involves significant DevOps responsibilities using AWS and a strong focus on performance optimization. Candidates should have a bachelor's degree in Computer Science and 7+ years of relevant experience. The position offers competitive pay, flexible work from home options, and generous benefits.

Qualificações

  • Minimum of 7 years of experience in cloud infrastructure and DevOps roles, significant experience on AWS.
  • Proven knowledge of ISO27001 and GDPR.

Responsabilidades

  • Design, deploy, and manage scalable cloud infrastructure.
  • Implement SRE best practices for system reliability.
  • Automate deployment and infrastructure management processes.
  • Set up monitoring and respond to incidents.
  • Identify performance bottlenecks and optimize systems.
  • Collaborate with teams to understand infrastructure requirements.
  • Create and maintain documentation for infrastructure.

Conhecimentos

Cloud Infrastructure Management
Site Reliability Engineering
DevOps Practices
Monitoring and Incident Response
Performance Optimization
Collaboration
Documentation
Innovation

Formação académica

Bachelor's degree in Computer Science or related field

Ferramentas

AWS
CI/CD tools
Git
Python
Terraform
Kubernetes

Descrição da oferta de emprego

A fintech solutions provider in Lisbon is seeking an experienced Infrastructure Engineer to design, build, and maintain scalable cloud infrastructure. This role involves significant DevOps responsibilities using AWS and a strong focus on performance optimization. Candidates should have a bachelor's degree in Computer Science and 7+ years of relevant experience. The position offers competitive pay, flexible work from home options, and generous benefits.
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