Implement and deploy cloud solutions using Terraform across GCP, Azure, and AWS, with a primary focus on GCP. Maintain cloud governance, policies, and optimization using migration and FinOps practices. Integrate third-party tools through identity providers and support Kubernetes microservice architectures, automation, infrastructure as code, and Git-based workflows.
This is a remote position.
We're fast learners, hard workers, natural collaborators... and we Make Modern Happen!
Our ambition is to unlock the potential of our digital world so that organisations everywhere can innovate and thrive securely.
We aim to achieve this goal by bringing together the world’s most talented people and the most powerful technologies, combining them to address our customers' challenges and to build something stronger together.
If you share our vision, join us!
Right now, we are looking for a Cloud Engineer to integrate our internal team, based in Lisbon.
Your responsibilities include:
- You will implement and deploy cloud solutions, through the usage of Terraform (IaC), following the best practices specified within the Cloud Centre of Excellence team and be in touch with the 3 major cloud service providers: Google Cloud Platform (GCP), Microsoft Azure and Amazon Web Services (AWS), with greater focus on GCP.
- You will help maintain and improve the governance of each Cloud by enabling and facilitating the global usage, while setting rails and policies to safeguard mis use.
- You will analyse existent infrastructures, provide insight on how to optimize them (following the R’s migration methodology) and help deploy the changes, while following FinOps methodologies.
- You will integrate third-party tools with Cloud providers through Identity Providers (IdP such as EntraID or Okta).
You must have:
- 2 years of professional experience with at least one major cloud service provider.
- 1 or more cloud certifications.
- Ability to automate repetitive tasks (scripting skills in Bash/PowerShell/Python)
- Experience with microservice architectures on Kubernetes.
- Proven experience with Infrastructure-as-Code (IaC) practices and patterns – Terraform, Ansible, etc.
- Solid understanding of modern information implementation methodologies and standards,especially in cloud environments.
- Proven experience with git practices and patterns.
We value:
- Professional Cloud Architecture certification on Google Cloud Platform (GCP).
- Terraform certification.
- Kubernetes certifications (CKA, CKAD or CKS).
- Experience with Apigee - API Management platform.
We offer:
- Regular professional development.
- Certification paths resources.
- Regular team building programs.
- Friendly workplace.
Workplace: Remote
Claranet: Make Modern Happen!
Similar Jobs
Healthtech • Pharmaceutical
Design, deploy, and operate containerized and serverless platforms on GKE, manage the enterprise Harness CI/CD platform, build standardized GitOps/IaC pipelines, embed DevSecOps controls, monitor platform health, onboard application teams, enforce policy-as-code governance, and collaborate with security and stakeholders to ensure secure, scalable, and repeatable deployments.
Top Skills:
AquaArgocdDynatraceFluxGitGitopsGkeGoogle Cloud Platform (Gcp)Harness Ci/CdInfrastructure As Code (Iac)KubernetesOpen Policy Agent (Opa)PrometheusServerless RuntimesTerraformTrivy
_0.png)
Cloud • Information Technology
Lead Product Engineering efforts to design, automate, and operationalize repeatable AWS/GCP cloud services. Define cloud standards, onboard services, implement IaC/config management, support operations, and act as SME and escalation point.
Top Skills:
Ai Tools (CopilotAnsibleAWSAws CliBashCi/CdClaudeCloudFormationDockerEcsEksGCPGcp CliGitInfrastructure As CodeJenkinsKiro)KubernetesLinuxPerlPythonRhceTcp/IpTerraform
Financial Services
Design and deliver enterprise-grade machine learning systems and AI-powered applications for banking. Build scalable, secure, distributed applications and automated cloud, desktop, and ML pipelines. Apply MLOps practices for versioning, reproducibility, and observability while collaborating with cloud and site reliability engineering teams. Develop reusable libraries and business-critical, data-intensive solutions, aligning machine learning problems with business objectives. The role may include mentoring or people leadership.
Top Skills:
AWSCloud ComputingDatabasesDistributed SystemsKubernetesLanggraphMachine LearningMessaging And Queue SystemsMlopsMulti-ThreadingPydantic AiPythonTypescript
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.
