Cloud Platform Engineer – AWS / Terraform / LinuxAbout the roleWe are looking for a Cloud Platform Engineer to join a technology team within a large international environment, working on the platform foundation that supports modern AI, data, and cloud-based systems.This role is highly focused on cloud infrastructure, platform engineering, AWS, Terraform, Linux troubleshooting, networking, automation, and production operations.The position is not primarily focused on building AI models or developing GenAI applications. Instead, you will work on the infrastructure and platform layer that enables technical teams to deploy, operate, monitor, and scale reliable systems in production.You will be expected to bring a strong Platform / DevOps / Cloud Engineering mindset, with the ability to analyse real production issues, debug infrastructure problems, design AWS-based solutions, and make sound technical decisions in complex environments.Experience with AI/ML platforms, MLOps, SageMaker, MLflow, or LLM tooling is valuable, but the core of the role is AWS Cloud Platform Engineering.If you enjoy solving infrastructure challenges, designing scalable AWS solutions, automating environments with Terraform, and troubleshooting real production issues — this could be a great fit.What you'll doDesign, build, and maintain cloud infrastructure solutions on AWSWork with Terraform / Infrastructure as Code to provision, manage, and standardise infrastructureAnalyse and troubleshoot production issues across cloud infrastructure, Linux systems, networking, storage, permissions, deployments, and platform servicesInvestigate infrastructure drift, unexpected production changes, Terraform state inconsistencies, and configuration mismatchesDesign AWS-based solutions, selecting the right services and explaining technical trade-offs around scalability, reliability, security, cost, and maintainabilitySupport and improve CI/CD pipelines for infrastructure, platform services, and cloud workloadsWork with Linux environments, including debugging issues related to disk usage, permissions, processes, logs, networking, and system performanceContribute to monitoring, observability, alerting, logging, and operational readiness of production systemsCollaborate with engineering, data, AI, and platform teams to ensure systems are reliable, automated, secure, and scalableApply DevOps, SRE, and platform engineering best practices to improve reliability, automation, and operational excellenceSupport cloud environments that may include AI/ML workloads, MLOps tooling, training/inference environments, or AI platform componentsMust HaveSolid experience in Platform Engineering, Cloud Engineering, DevOps, Infrastructure Engineering, or SREStrong hands-on experience with AWS in production environmentsStrong experience with Terraform and Infrastructure as CodeGood understanding of cloud infrastructure design, including networking, compute, storage, IAM/security, monitoring, and scalabilityStrong troubleshooting skills in Linux environmentsAbility to debug real infrastructure issues using command-line tools, logs, metrics, system resources, and cloud-native servicesExperience with CI/CD pipelines and automationUnderstanding of networking fundamentals, including VPCs, subnets, routing, DNS, load balancers, security groups, firewalls, and connectivity troubleshootingExperience with production operations, incident analysis, root cause investigation, and reliability improvementAbility to design technical solutions in AWS and explain the reasoning behind the selected services and architectureStrong ownership mindset and ability to work independently in complex technical environmentsGood communication skills and ability to explain technical decisions clearlyFluent EnglishNice to HaveExperience with MLOps / AI Platform environmentsExperience with SageMaker, MLflow, feature stores, model deployment, model serving, or training/inference platformsExperience with Docker and KubernetesFamiliarity with LLM tooling such as LangChain, Langfuse, LangSmith, or similarExperience with observability tools, monitoring platforms, logging, tracing, and alerting systemsExperience with cost optimisation in AWS environmentsExperience with data pipelines or workflow orchestration tools such as Airflow or PrefectKnowledge of security, governance, compliance, and best practices for cloud platformsExperience working in Agile / Scrum environmentsFluent SpanishHybrid model: 2 days onsite per weekWhy join this project?Join an international technology environment working on cloud platforms that support real business-critical systemsWork with modern cloud infrastructure, automation, platform engineering, and production operationsHands-on exposure to AWS, Terraform, Linux, CI/CD, observability, and scalable infrastructure designContribute to building reliable, secure, automated, and production-ready platformsBe part of a team where strong technical judgement, troubleshooting ability, and infrastructure design skills are highly valuedOpportunity to work close to AI, data, and platform teams while keeping a strong cloud engineering focusHigh team stability and collaborative culture€1200 per year training budget and continuous learning opportunitiesFlexible compensation modelPrivate health insurance and benefits packageFlexible working hours and hybrid modelWellhub: fitness, wellness, and mental health supportFootball and paddle tennis teams sponsored by CapitoleTeam buildings, integral events, and strong tech communitiesWant to know more about us? Click here and discover all the details.Curious about our culture? Check out what people are saying about us on Glassdoor.We know that not every candidate will meet 100% of the requirements. If your profile doesn't match perfectly but you believe you can add value, we'd still love to hear from you.Ready for the challenge? Apply now and help build scalable, reliable, and production-ready cloud platforms.Empowering People, Unlocking Innovation.Information Security NoticeThe employee will have access to confidential information related to Capitole and the assigned project.Compliance with internal security and information protection policies is mandatory.NDA signature required.