Cloud Systems Engineer - Azure & DevOps Innovator

Decskill

Lisboa

Presencial

EUR 40 000 - 65 000

Tempo integral

Há 12 dias

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Resumo da oferta

Decskill, an IT consulting company, is growing its Cloud Systems Engineer team in Portugal. The role covers architecture validation, infrastructure provisioning, and documentation across Azure, AWS or GCP for enterprise projects.

You will work with DevOps/MLOps practices, containerization, and secure secret management to deliver production‑ready solutions. Strong communication and English proficiency are required.

Qualificações

  • Bachelor's degree in Software Engineering or Computer Engineering or similar.
  • Written and verbal communication skills are required.
  • Experience with one of Azure, AWS or GCP.
  • Knowledge of IT solution architecture and automation tools (Terraform, Ansible).
  • Experience with CI/CD principles and scripting (GitHub Actions).
  • Experience with cloud services such as Azure OpenAI, AI search, vector stores and data pipelines.

Responsabilidades

  • Support in designing low‑complexity solutions.
  • Validation of new reference architectures.
  • Support for projects and applications, ensuring alignment with the reference architectures.
  • Creation and maintenance of detailed technical documentation.
  • Support for end‑to‑end implementation of the infrastructure, including provisioning, deployments and issue resolution.

Conhecimentos

Written & verbal communication
IT solution architecture
Cloud platforms (Azure, AWS or GCP)
CI/CD & scripting (GitHub Actions)
Secrets management (Azure Key Vault, v

Formação académica

Bachelor's in Software/Computer Engineering or similar

Ferramentas

Terraform
Ansible
Docker
GitHub Actions
Azure Functions
Azure Databricks
Azure Data Factory
CosmosDB
Azure OpenAI Service

Descrição da oferta de emprego

Decskill, an IT consulting company, is growing its Cloud Systems Engineer team in Portugal. The role covers architecture validation, infrastructure provisioning, and documentation across Azure, AWS or GCP for enterprise projects.

You will work with DevOps/MLOps practices, containerization, and secure secret management to deliver production‑ready solutions. Strong communication and English proficiency are required.

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