We are an IT agency that builds web applications for our clients. We work on a variety of projects, each with its own unique challenges. Our projects are managed using Scrum and Agile methods, and we work together as a team following a team topology model.
We are looking for a Senior DevOps Engineer. This role involves handling different challenges in each project, but it doesn't mean switching between tasks or leading multiple projects at the same time.

We are undergoing a massive technical evolution, migrating our core legacy systems to a modern Python/Django architecture and heavily automating our infrastructure. To ensure this transformation is flawless, we are building an unbreakable safety net.
We are an AI-First engineering team. We believe that manually configuring servers, babysitting deployments, and writing repetitive infrastructure boilerplate is a waste of a talented engineer's time. We were hoping you could leverage AI tools to rapidly build robust architectures so you can focus on what truly matters: Scale, Security, Automation, and High Availability. The "AI-First" DevOps Mindset

Technical Skills and ability :

• AI-Assisted Infrastructure: You actively use tools like GitHub Copilot, ChatGPT, Claude, or Cursor to rapidly generate Terraform modules, Ansible playbooks, Shell scripts, and Kubernetes manifests. 
• Zero Manual Ops: If a task has to be done twice, it must be automated. You lean on AI to quickly figure out complex automations and script them out efficiently. 
• Architectural Focus: Instead of spending hours writing raw pipeline YAMLs from scratch, your primary job is to design highly resilient, self-healing systems and ensure developers have lightning-fast, zero-touch deployment experiences. Key Responsibilities 
• Hyper-Automated CI/CD: Design, build, and maintain fully automated CI/CD pipelines leveraging AI to simplify testing and enable blazing-fast, secure deployments. 
• Large-Scale Kubernetes: Architect, manage, and scale highly distributed Kubernetes clusters to support microservices/modular architecture. 
• Cloud & Infrastructure Management: Lead the design and operation of our cloud infrastructure, with a strong focus on AWS, ensuring optimal performance, security, and cost-efficiency. 
• Infrastructure as Code (IaC): Provision immutable infrastructure using Terraform and handle robust configuration management via Ansible. 
• Advanced Observability: Implement and optimize comprehensive monitoring, logging, and alerting solutions to ensure system health and rapid incident response. Requirements & Qualifications 
• AWS Expertise: Proven, hands-on experience designing and operating complex architectures on Amazon Web Services (AWS). 
• Distributed Kubernetes: Deep, practical experience managing Kubernetes (K8s) in highly distributed, large-scale production environments. 
• Observability & Logging: Solid knowledge of monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack). 
• Automation & IaC: Hands-on, practical experience with Ansible and Terraform. 
• OS Mastery: Strong proficiency in Linux system administration and troubleshooting. 
• Scripting Skills: Solid scripting experience with Python or Shell (Bash) to glue systems together and automate tasks. 
• Virtualization: Familiarity with bare-metal and virtualization platforms (e.g., Proxmox, KVM, or similar). 
• The Right Mindset: A strong believer in leveraging Generative AI for DevOps. You must be eager to integrate new AI tools to speed up pipeline creation and infrastructure management. 

Nice to Have

• Experience with AIOps (integrating Machine Learning/AI into monitoring for anomaly detection). 
• Experience in migrating legacy on-premise infrastructure to cloud or hybrid environments. 
• Strong understanding of DevSecOps principles and integrating automated security checks into pipelines. 

What We Offer 

• The opportunity to architect a cutting-edge, fully automated infrastructure from the ground up. 
• Premium access to advanced AI tools (Copilot, ChatGPT Plus, etc.) to supercharge your workflow. 
• A culture that values automation, resilience, and smart engineering over manual firefighting.