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# Senior System Engineer - Platform As A Service (Hybrid)

- **Company:** Benefitsat Edo
- **Location:** Madrid, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Software Debugging, Linux, Platform as a Service (PAAS), Software Engineering, AI Infrastructure, Google Cloud, GitHub Copilot, Istio, Large Language Models, Git, AI Platforms, Kubernetes, Cloudflare, Terraform, GPT, Docker
- **Published:** September 8, 2026
- **Apply:** https://eurojobs.com/jobs/26628511/apply

## About the Role

focus on iterative delivery and continuous improvementTechnology: modern cloud native stack with Kubernetes at the core, running on GCP, including service mesh, edge integrations and emerging AI platform capabilitiesTechnical challenge: a global platform used across many countries and teams, where engineering decisions have significant impact on scalability, reliability and developer workflowsImpact: in this role you will have impact across technology, people, processes and platform strategyTLDR: Tech stack GCP, Kubernetes, Istio, Crossplane, ArgoCD, FluxCD, Terraform, Kyverno, Git, Docker, Helm, Cloudflare, AI/LLM infrastructure and much more(experience with all of them is not required; we value strong fundamentals, engineering mindset and ability to learn and adapt)What you need to succeed:
Good to haveBring your unique perspective, speak up, and offer disruptive solutions. You'll have the opportunity to learn and grow while making a real impact on our team. Here's what you need to succeed: Strong experience working with cloud infrastructure and containerised environmentsSolid understanding of Linux, networking and distributed systemsExperience designing and operating production systems at scaleFamiliarity with Infrastructure as Code, GitOps workflows and platform engineering conceptsAbility to reason about complex systems and debug production issues methodicallyAbility to balance pragmatism and engineering quality when making technical decisionsProactive and collaborative mindset, comfortable driving initiatives and aligning with different stakeholdersOwnership attitude: you care about the quality, scalability and reliability of what you shipAbility to mentor and support other engineers through technical leadership and collaborationCuriosity and interest in
emerging areas such as AI infrastructure, LLM platforms, MCP ecosystems and agentic workflowsPreferred QualificationsExperience with Applied AI Tools: Demonstrated comfort using practical AI tools such as GitHub Copilot, ChatGPT, or other AI-powered coding assistants.Experimentation Mindset: Curiosity and eagerness to explore, experiment with, and integrate emerging AI-driven solutions into software development workflows.AI-Enhanced Problem Solving: Ability to effectively leverage AI tools to debug code, streamline development processes, and enhance productivity.Adaptability and Learning Agility: Enthusiastic about continuously learning and quickly adapting to new AI features and capabilities.Collaboration with AI: Experience or interest in collaborating closely with AI tools as "pair programmers" to complement traditional software development practices.What's in it for you?The best talent deserves the best benefitsAt eDO, we want you to be a part of our success

## Description

a scalable, reliable and sustainable wayLead technically complex initiatives, helping teams navigate ambiguity and make sustainable engineering decisionsChallenge existing practices and identify opportunities to improve scalability, reliability, security and operational efficiencyHelp reduce cognitive load for stakeholders by automating common tasks and standardising platform capabilitiesCollaborate closely with engineers from different areas, helping align platform capabilities with broader engineering needsGuide and mentor other engineers through technical discussions, reviews and day to day collaborationTake ownership of problems end to end, from early design discussions to production operationYou will work on strategic and high impact topics, helping define how our production platforms evolve over time while balancing reliability, scalability and developer experience.What's exciting about it? Mindset: we work following GitOps principles, automate as much as possible and


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