Cloud engineer mid (hybrid)
Summary
A Portuguese recruiter is hiring a mid-level (3+ years) Cloud Engineer for a mobility-sector client in Porto/Gaia, Portugal — hybrid with 2 onsite days per week. The role designs cloud-native infrastructure and automation using AWS/Azure/GCP, Terraform, Kubernetes, Docker, Envoy, and observability tooling like Prometheus and Grafana.
CLOUD ENGINEER MID (HYBRID PORTO)
Portuguese company hires for hybrid position
Location: Porto / Gaia, Portugal
⚠️ Only candidates already based in Portugal will be considered
Work Model: Hybrid — 2 days onsite per week
️ Language Requirements: Fluent English required
Seniority: Mid-level (3+ years)
Sector: Mobility
Rate Between €2100 - 2400 RV or unipessoal (gross value)
⚠️ Instructions: Please send your CV in English and make sure to include all skills and experience that match the requirements of the opportunity. This will significantly increase your chances of success.
About the Opportunity
We are looking for a Cloud Engineer to design and implement cloud-native infrastructure supporting modern application architectures. The role combines platform engineering, automation, and Infrastructure as Code to improve reliability and developer experience.
Responsibilities
- Design and implement cloud-native infrastructure for modern applications.
- Develop and maintain Infrastructure as Code following software engineering best practices.
- Build scripts, services, and pipelines to improve platform reliability and developer workflows.
- Collaborate with developers to ensure applications are cloud-ready, observable, and resilient.
- Troubleshoot cloud and platform issues, contributing to incident resolution and root cause analysis.
Requirements
- At least 3 years of experience in Cloud Engineering, Platform Engineering, DevOps, or Infrastructure.
- Strong hands-on experience with at least one public cloud provider: AWS, Azure, or Google Cloud.
- Solid programming skills in Java, Python, or a comparable language for automation and tooling, plus knowledge of Go.
- Experience with Infrastructure as Code: Terraform preferred; CloudFormation, ARM, or Pulumi also accepted. Familiarity with Ansible and automation practices.
- Experience with Linux, system troubleshooting, networking fundamentals, distributed systems, SRE principles, and production operations.
- Experience with Docker and Kubernetes, including knowledge of Custom Resource Definitions (CRDs), and familiarity with Envoy as an API Gateway.
- Hands-on experience with observability tools such as Prometheus, Grafana, ELK, or Splunk; familiarity with CI/CD systems such as GitLab CI, GitHub Actions, or Azure DevOps.
- Experience working in Agile/Scrum or Kanban environments. Preferred: Foundational or Associate-level AWS, Azure, or Google Cloud certifications.
Ideal Candidate Profile
An analytical and autonomous professional who enjoys solving infrastructure challenges and building reliable platforms. Comfortable collaborating with technical and business teams, with a structured approach to delivery, clear communication, and a proactive interest in learning new technologies.
5 Questions for Candidates
- How many years of experience do you have in Cloud Engineering, Platform Engineering, or DevOps?
- Which cloud providers and Infrastructure as Code tools have you used in production?
- What experience do you have with Kubernetes, CRDs, and Envoy?
- Can you describe an automation or troubleshooting task involving programming and observability tools?
- Are you fluent in English and available for two onsite days per week in Porto/Gaia, with a rate of €2100–2400?
Keywords
Cloud Engineering, AWS, Azure, Google Cloud, Terraform, Ansible, Linux, Docker, Kubernetes, CRDs, Envoy, Go, Python, Java, SRE, Observability, CI/CD.
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Skills
- Agile
- Ansible
- API
- Automation
- AWS
- Azure
- Azure DevOps
- CI/CD
- Cloud
- Cloud Native
- CloudFormation
- Developer Experience
- DevOps
- Distributed Systems
- Docker
- ELK
- Envoy
- GCP
- GitHub
- GitHub Actions
- GitLab
- Grafana
- Infrastructure as Code
- Java
- Kanban
- Kubernetes
- Linux
- Networking
- Observability
- Prometheus
- Pulumi
- Python
- Root Cause Analysis
- Scrum
- Splunk
- Terraform