Staff Platform Engineer (Lisbon - Hybrid)

Claranet Portugal; Lisboa; Presencial; EUR 70 000 - 100 000; Tempo integral

Resumo da oferta

Claranet Portugal is seeking a Staff Platform Engineer to join our Talent team and help shape our cloud platform strategy. You will design and operate scalable cloud architectures, APIs, and AI-ready infrastructure across AWS, GCP, and Azure, with a strong focus on security, cost control, and reliability.

You will collaborate with engineering and product teams, translate business needs into robust platform solutions, and mentor others in cloud best practices and modern AI concepts, including

Qualificações

• 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.

Conhecimentos

Cloud Architecture

Infrastructure Engineering

Platform Engineering

Distributed systems

APIs design

IAM/OAuth/OIDC

Cloud cost optimization

Automation

Observability

AI concepts

Ferramentas

Kubernetes

Docker

AWS

GCP

Azure

Descrição da oferta de emprego

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.

Right now, we are looking for a Staff Platform Engineer to integrate our Talent team.

You must 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.