🔹 Cloud Platform Engineer – AWS / Terraform / Linux 🔹
📌 About the role
We 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 do
🔹 Design, build, and maintain cloud infrastructure solutions on AWS
🔹 Work with Terraform / Infrastructure as Code to provision, manage, and standardise infrastructure
🔹 Analyse and troubleshoot production issues across cloud infrastructure, Linux systems, networking, storage, permissions, deployments, and platform services
🔹 Investigate infrastructure drift, unexpected production changes, Terraform state inconsistencies, and configuration mismatches
🔹 Design AWS-based solutions, selecting the right services and explaining technical trade-offs around scalability, reliability, security, cost, and maintainability
🔹 Support and improve CI/CD pipelines for infrastructure, platform services, and cloud workloads
🔹 Work with Linux environments, including debugging issues related to disk usage, permissions, processes, logs, networking, and system performance
🔹 Contribute to monitoring, observability, alerting, logging, and operational readiness of production systems
🔹 Collaborate with engineering, data, AI, and platform teams to ensure systems are reliable, automated, secure, and scalable
🔹 Apply DevOps, SRE, and platform engineering best practices to improve reliability, automation, and operational excellence
🔹 Support cloud environments that may include AI/ML workloads, MLOps tooling, training/inference environments, or AI platform components
💡 Must Have
🔹 Solid experience in Platform Engineering, Cloud Engineering, DevOps, Infrastructure Engineering, or SRE
🔹 Strong hands-on experience with AWS in production environments
🔹 Strong experience with Terraform and Infrastructure as Code
🔹 Good understanding of cloud infrastructure design, including networking, compute, storage, IAM/security, monitoring, and scalability
🔹 Strong troubleshooting skills in Linux environments
🔹 Ability to debug real infrastructure issues using command-line tools, logs, metrics, system resources, and cloud-native services
🔹 Experience with CI/CD pipelines and automation
🔹 Understanding of networking fundamentals, including VPCs, subnets, routing, DNS, load balancers, security groups, firewalls, and connectivity troubleshooting
🔹 Experience with production operations, incident analysis, root cause investigation, and reliability improvement
🔹 Ability to design technical solutions in AWS and explain the reasoning behind the selected services and architecture
🔹 Strong ownership mindset and ability to work independently in complex technical environments
🔹 Good communication skills and ability to explain technical decisions clearly
🔹 Fluent English
✨ Nice to Have
🔹 Experience with MLOps / AI Platform environments
🔹 Experience with SageMaker, MLflow, feature stores, model deployment, model serving, or training/inference platforms
🔹 Experience with Docker and Kubernetes
🔹 Familiarity with LLM tooling such as LangChain, Langfuse, LangSmith, or similar
🔹 Experience with observability tools, monitoring platforms, logging, tracing, and alerting systems
🔹 Experience with cost optimisation in AWS environments
🔹 Experience with data pipelines or workflow orchestration tools such as Airflow or Prefect
🔹 Knowledge of security, governance, compliance, and best practices for cloud platforms
🔹 Experience working in Agile / Scrum environments
🔹 Fluent Spanish
📍 Hybrid model: 2 days onsite per week
🌍 Why join this project?
🤝 Join an international technology environment working on cloud platforms that support real business-critical systems
🚀 Work with modern cloud infrastructure, automation, platform engineering, and production operations
☁️ Hands-on exposure to AWS, Terraform, Linux, CI/CD, observability, and scalable infrastructure design
⚙️ Contribute to building reliable, secure, automated, and production-ready platforms
🧠 Be part of a team where strong technical judgement, troubleshooting ability, and infrastructure design skills are highly valued
📈 Opportunity to work close to AI, data, and platform teams while keeping a strong cloud engineering focus
😁 High team stability and collaborative culture
🎓 €1200 per year training budget and continuous learning opportunities
💰 Flexible compensation model
🩺 Private health insurance and benefits package
⚡ Flexible working hours and hybrid model
🏋️ Wellhub: fitness, wellness, and mental health support
⚽ Football and paddle tennis teams sponsored by Capitole
🥳 Team buildings, global events, and strong tech communities
✨ Want 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 Notice
* The 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.