Platform engineer - devops specialist / azure (hybrid)
Summary
Senior platform/DevOps engineer (5+ yrs) for a Portuguese travel-tech company, hybrid in Lisbon (50% onsite). Manages Azure infrastructure (AKS, storage, networking), CI/CD with GitHub Actions/GitLab, GitOps (ArgoCD/FluxCD, Helm), Terraform, Docker/Kubernetes, observability, and secrets management.
PLATFORM ENGINEER - DEVOPS SPECIALIST / AZURE (HYBRID LISBON)
Portuguese company hires for hybrid position
Location: Lisbon, Portugal
⚠️ Only candidates already based in Portugal will be considered
Work Model: Hybrid — 50% weekly onsite presence
️ Language Requirements: English B2 minimum
Seniority: Senior (5+ years)
Sector: Travel Technology / IT
Rate Between €2700 - 3000 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 Senior Platform Engineer / DevOps Specialist to manage and improve cloud infrastructure, deployment processes, and platform reliability. You will collaborate with backend and mobile teams in a multicultural environment, with a strong focus on Azure, automation, and continuous improvement.
Main Responsibilities
- Manage Azure infrastructure, including AKS, storage, and networking.
- Maintain and improve CI/CD pipelines using GitHub Actions, GitLab, and automation tools.
- Implement GitOps practices with ArgoCD or FluxCD and Helm-based deployments.
- Automate build, integration, and deployment processes across environments.
- Define and maintain infrastructure as code using Terraform.
- Manage Docker and Kubernetes environments, ensuring scalability and resilience.
- Implement monitoring, alerting, and logging to improve observability.
- Integrate secrets management solutions such as HashiCorp Vault.
- Manage and optimize artifact repositories such as Artifactory or NuGet.
- Contribute to integration, performance, load, and stress testing.
- Support incident resolution and production stability.
- Explore practical applications of AI in CI/CD, infrastructure management, and platform automation.
Requirements
- Minimum 5 years of relevant experience in DevOps, Cloud, or SRE roles.
- Strong cloud experience, preferably with Microsoft Azure, including AKS, storage, and networking.
- Proven expertise in CI/CD, GitOps, Docker, and Kubernetes.
- Experience with infrastructure as code and deployment automation.
- Familiarity with observability, monitoring, and incident management.
- Knowledge of distributed systems, APIs, and backend architectures.
- Experience with integration, load, and stress testing strategies.
- Experience working in Agile environments.
- English B2 or higher, with the ability to collaborate in multicultural teams.
- Availability to work onsite in Lisbon for 50% of the working week.
Ideal Profile
A hands-on engineer who can independently identify and implement platform improvements, take ownership of production reliability, and collaborate effectively across teams. Proactivity, accountability, and an interest in applying AI to DevOps practices are essential.
Candidate Questions
- How many years of experience do you have in DevOps, Cloud, or SRE, and what Azure services have you managed directly?
- Can you describe your experience with CI/CD and GitOps, including GitHub Actions, GitLab, ArgoCD or FluxCD, and Helm?
- How have you used Terraform, Docker, and Kubernetes to improve infrastructure scalability and resilience?
- What experience do you have with observability, secrets management, production incidents, and integration or load testing? Have you applied AI to any of these workflows?
- Are you available for 50% weekly onsite work in Lisbon, comfortable working in English at B2 level or higher, and aligned with the €2,700–3,000 gross range?
Keywords
Platform Engineer, DevOps, Azure, AKS, SRE, Kubernetes, Docker, Terraform, CI/CD, GitOps, GitHub Actions, GitLab, ArgoCD, FluxCD, Helm, HashiCorp Vault, Artifactory, NuGet, Observability, Infrastructure as Code, AI Automation.
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