OverviewAs a Senior Platform Engineer within Platform As A Service, you shape and operate our integral platform foundations used by multiple product teams.

You drive improvements to developer experience with scalable, self-service workflows and clear abstractions.

You'll work with Kubernetes, GitOps, and service mesh to support reliability and scale, including AI infrastructure ambitions.

This role offers ownership from design to production, guiding teams and mentoring engineers while advancing platform strategy and performance.

Compensaciones / BeneficiosPrime Plus membership competitive salary and benefits package hybrid home-office model continuous learning opportunities (Coursera, workshops)

onboarding program internal mobility and career development (eVOLVE)

ResponsabilidadesDesign, build and operate platform capabilities used by multiple teams across the company

Improve developer experience with scalable self-service workflows and reusable patterns

Work with Infrastructure as Code and GitOps across the full lifecycle (design, implement, test, operate)

Evolve Kubernetes-based platforms with multi-cluster and multi-region setups

Operate the Istio-based service mesh layer with multi-cluster capabilities

Contribute to edge-related platform capabilities for secure, scalable request handling

Contribute to AI infrastructure, self-hosted LLMs, inference workloads and MCP ecosystems

Assess and integrate modern AI tooling in a scalable, reliable way





Lead technically complex initiatives and navigate ambiguity to sustainable engineering decisions

Reduce cognitive load by automating tasks and standardizing platform capabilities

Collaborate with engineers from different areas to align platform with broader needs

Mentor engineers through technical discussions, reviews and collaboration

Own problems end-to-end from early design to production operation

Help define production platform evolution balancing reliability, scalability and developer experience

Requisitos principalesStrong experience with cloud infrastructure and containerised environments

Solid understanding of Linux, networking and distributed systems

Experience designing and operating production systems at scale

Familiarity with Infrastructure as Code, GitOps workflows and platform engineering concepts

Ability to reason about complex systems and debug production issues methodically

Ability to balance pragmatism and engineering quality in technical decisions

Proactive and collaborative mindset; comfortable driving initiatives and aligning with stakeholders

Ownership attitude and focus on quality, scalability and reliability

Ability to mentor and support other engineers through leadership and collaboration

Curiosity about emerging areas such as AI infrastructure, LLM platforms, MCP ecosystems and agentic workflows

Proactive and collaborative mindset

Ownership attitude

Curiosity about new areas and willingness to learn

Cloud infrastructure

Containerised environments

Kubernetes (multi-cluster/multi-region)

📌 Senior System Engineer - Platform As A Service (Hybrid) - Edreams (Barcelona)
🏢 Edreams
📍 Barcelona