Staff Platform Engineer (Lisbon - Hybrid)

Claranet limited; Lisboa; On-site; EUR 90,000 - 130,000; Full time

Job summary

Claranet limited in Lisbon is seeking a Staff Platform Engineer to join the Talent team and design, implement, and secure scalable cloud platforms across providers. You will work on end-to-end architecture, drive automation, and collaborate with leadership to align cloud strategy with business goals.

You will apply deep knowledge of distributed systems, AI-aware infrastructure, and robust networking to deliver resilient solutions while mentoring engineers and shaping cloud governance.

Qualifications

• 3+ years of experience in Cloud Architecture, Infrastructure Engineering, or Platform Engineering.
• Proven experience with multiple cloud providers (e.g., AWS, GCP, Azure), including the ability to design, implement, and operate solutions across both cloud environments.
• Strong knowledge of distributed computing and scalable systems architecture.
• Hands-on experience with Kubernetes and container technologies (Docker or equivalent).
• Advanced networking expertise, including DNS, load balancing, VPCs, hybrid connectivity, routing, and firewall/security group management.
• Experience with relational and non-relational databases, as well as cloud storage solutions.
• Experience designing, integrating, securing, and managing APIs.
• Strong understanding of authentication, authorization, and identity management technologies (IAM, OAuth2, OpenID Connect, SAML, JWT).
• Knowledge of cloud best practices, observability, automation, resilience, and governance.
• Knowledge of FinOps practices and cloud cost optimization.
• Ability to read, understand, review, and challenge code produced by engineering teams.
• Understanding of modern AI concepts, including Large Language Models (LLMs) and Small Language Models (SLMs).
• Understanding of the infrastructure components required to support AI platforms, including inference services, retrieval systems, databases, storage, APIs, and cloud infrastructure.
• Ability to design end-to-end cloud solutions, from infrastructure architecture through service integration.
• Experience engaging with stakeholders at multiple levels, including both technical and non-technical leadership.Excellent communication, influencing, and presentation skills.

Skills

Cloud architecture

Kubernetes

Docker

Cloud providers

Networking

APIs

IAM/OAuth/OpenID

Observability

FinOps

AI concepts

End-to-end design

Stakeholder engagement

Code review

Security

Databases

Distributed systems

Tools

Terraform

Git

CI/CD pipelines

Job description

We're fast learners, hardworkers, natural collaborators... and weMake Modern Happen!

Our ambition is to unlock thepotential of our digital world so that organisations everywhere can innovateand thrive securely. We aim to achieve this goal by bringing together theworld's most talented people and the most powerful technologies, combining themto address our customers' challenges and to build something stronger together.

Right now, weare looking for a Staff Platform Engineerto integrate our Talent team.

Youmust have:

• 3+ years of experience in Cloud Architecture, Infrastructure Engineering, or Platform Engineering.
  
• Proven experience with multiple cloud providers (e.g., AWS, GCP, Azure), including the ability to design, implement, and operate solutions across both cloud environments.
  
• Strong knowledge of distributed computing and scalable systems architecture.
  
• Hands-on experience with Kubernetes and container technologies (Docker or equivalent).
  
• Advanced networking expertise, including DNS, load balancing, VPCs, hybrid connectivity, routing, and firewall/security group management.
  
• Experience with relational and non-relational databases, as well as cloud storage solutions.
  
• Experience designing, integrating, securing, and managing APIs.
  
• Strong understanding of authentication, authorization, and identity management technologies (IAM, OAuth2, OpenID Connect, SAML, JWT).
• Knowledge of cloud best practices, observability, automation, resilience, and governance.
  
• Knowledge of FinOps practices and cloud cost optimization.
  
• Ability to read, understand, review, and challenge code produced by engineering teams.
  
• Understanding of modern AI concepts, including Large Language Models (LLMs) and Small Language Models (SLMs).
  
• Understanding of the infrastructure components required to support AI platforms, including inference services, retrieval systems, databases, storage, APIs, and cloud infrastructure.
  
• Ability to design end-to-end cloud solutions, from infrastructure architecture through service integration.
  
• Experience engaging with stakeholders at multiple levels, including both technical and non-technical leadership.Excellent communication, influencing, and presentation skills.