Cloud Infrastructure Architect - Global Projects & Growth

Decskill

Lisboa

Presencial

EUR 45 000 - 65 000

Tempo integral

14 dias+

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Resumo da oferta

Decskill is hiring an IT Cloud Infrastructure Administrator to shape and manage our cloud environments from Lisbon and beyond. You will partner with development and security teams to implement scalable infrastructure, automation, and monitoring, while promoting best practices in CI/CD and testing.

You will use Python and data tooling to support data pipelines, work with Docker containers and cloud services (AWS/IBM), and contribute to agile project delivery.

Qualificações

  • Proficiency in Python and libraries such as Pandas and Polars.
  • Experience with SQLAlchemy and Psycopg2 for DB access.
  • Knowledge of CI/CD, unit testing and version control practices.
  • Dataiku platform is mandatory.
  • Experience with cloud environments (AWS, IBM) and Docker containers.
  • Familiarity with Agile tools (Jira, Confluence, ALM).
  • Strong SQL skills and knowledge of PostgreSQL/Oracle.

Responsabilidades

  • Define technical solutions and promote production-ready infrastructure.
  • Assemble production and infrastructure services for applications.
  • Ensure compliance with architecture and security standards.
  • Coordinate production and infrastructure requirements in backlogs.
  • Support development teams to accelerate project delivery.
  • Implement user stories and document operational guidelines.
  • Lead production monitoring and incident response within SLA.

Conhecimentos

Python
Pandas
Polars
SQLAlchemy
Psycopg2
ibmboto3
CI/CD
Unit testing
Versioning

Ferramentas

Dataiku
Docker
Jira
Confluence
ALM
AWS
IBM Cloud

Descrição da oferta de emprego

Decskill is hiring an IT Cloud Infrastructure Administrator to shape and manage our cloud environments from Lisbon and beyond. You will partner with development and security teams to implement scalable infrastructure, automation, and monitoring, while promoting best practices in CI/CD and testing.

You will use Python and data tooling to support data pipelines, work with Docker containers and cloud services (AWS/IBM), and contribute to agile project delivery.

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