Cloud Systems Engineer

Overview: We are a global energy company based in Portugal, known for its strong commitment to sustainability and innovation. As a leader in renewable energy, we focus on clean electricity generation through wind, solar, and hydro power. What are we looking for? Up to 5 years of experience in the role related to the contracted service; Bachelor’s degree in Software Engineering, Computer Engineering, or a related field; Language proficiency (written and spoken): English (mandatory), Portuguese (preferred), Spanish (preferred); Experience with one of the following cloud providers: Azure, AWS, or GCP Knowledge of IT solution architecture Experience with automation tools (e.g., Terraform, Ansible One of the following certifications: Microsoft Certified: Azure Administrator Associate; AWS Certified Solutions Architect – Associate; Associate Cloud Engineer; Proven ability to track and supervise the resolution of several ongoing issues (using Kanban/Scrum) with good organization skills and ability to provide status feedback; Good communication skills and ability to obtain results from other teams; Strong written and verbal communication skills; Autonomous and problem solver; Support in the design of low-complexity solutions; Validation of new reference architectures; Support for projects and applications, ensuring alignment with the defined reference architectures; Creation and maintenance of detailed technical documentation; End-to-end support for the implementation of the infrastructure that supports the projects developed within the Digital Factory, including provisioning, pipeline construction, and deployment; Technical support and issue resolution for the various teams within the Digital Factory. Proven experience on setup and maintaining Azure infrastructure - production-ready and adhering to the best practices, namely: Microsoft Azure Cloud: Proven experience developing and deploying applications on Azure; Azure Functions and Logic Apps: Experience building serverless applications; Azure OpenAI Service: Experience with deploying and using models like GPT-4 and text embedding models; Azure AI Search / AI Foundry: Knowledge of creating and managing vector stores for similarity search; Data Factory and Databricks for ingestion pipelines; Azure Blob Storage for cloud storage solutions; CosmosDB: Knowledge of creating and managing long-term memory; Application Insights: Knowledge of logging setup. DevOps & MLOps: Proficiency with Docker for containerizing applications, Azure Container Registry as a plus; Experience deploying applications to multiple environments (e.g., dev, production) on Azure; Proven CI/CD principles and scripting for automation, namely GitHub Actions; Secrets management using Azure Key Vault, GitHub and HashiCorp Vault. API and External Services Integration: Setting REST APIs based on WebApps (Fast API) and Azure Functions; Knowledge of OAuth 2.0, Azure AD, and token-based authentication. Management Tools: ServiceNow: good knowledge of ServiceNow (or equivalent) for ticket registration and tracking; Jira/Confluence: good knowledge of Jira for activity tracking. What can you expect from us? A permanent job contract for a long term project; Tech equipment + SIM Card + personal smartphone; Health and Life Insurance; Social events and team buildings; The commitment of letting you grow with us, and be rewarded accordingly; A dynamic and young team that will be always there to support you; Training in the latest technologies; Coffee, fruits, snacks and a warm welcoming when you pass by the office. Apply To This Job