DevOps Engineer

About This Opportunity

We are representing a confidential AI technology company based in Paris. Our client is seeking a DevOps Engineer to design, build, and maintain the cloud and on-premise infrastructure that powers their production platform. You'll work on Kubernetes clusters, CI/CD pipelines, observability systems, networking, and automation that keep services reliable, secure, and scalable.

Responsibilities

• Design, build, and maintain production infrastructure across AWS and on-premise environments
• Manage and improve Kubernetes clusters for deployments, scaling, reliability, and day-to-day operations
• Build and maintain CI/CD pipelines that make shipping safer, faster, and more predictable
• Work on modern infrastructure including Docker images, runtime security, and lifecycle management
• Achieve high availability, performance, and observability through monitoring, alerting, and troubleshooting practices
• Follow Infrastructure-as-Code approach using Terraform and similar tools to keep environments consistent and scalable
• Handle networking and connectivity topics including routing, firewalls, load balancing, and cluster-to-cluster communication while minimizing latency
• Write Python scripts and internal tooling to automate repetitive tasks and improve operational workflows
• Collaborate closely with engineering and ML teams to support product infrastructure, internal platforms, and compute-heavy workloads

What We're Looking For

Required qualifications:

• Hands-on experience with AWS services such as IAM, S3, EKS, and ECR
• Comfort working in both cloud environments and real production on-premise infrastructure
• Strong Unix/Linux fundamentals with ability to troubleshoot, tune, and operate systems in production
• Real-world experience with containers and understanding of how to build secure, efficient setups
• Practical experience and fundamental knowledge with Kubernetes (EKS, k0s, or similar distributions)
• Experience building or maintaining CI/CD pipelines and making deployments reliable
• Strong networking knowledge including TCP/IP, routing, firewalls, and load balancing
• Solid Terraform and Infrastructure-as-Code experience
• Experience with Datadog for monitoring and observability
• Comfortable using Python for automation and internal tools
• Clear communication skills and ability to work well with others
• Fluent English

Valued experience:

• Experience with machine learning or GPU workloads
• Experience with multi-cluster or multi-cloud environments
• Exposure to security-focused infrastructure, air-gapped environments, or locked-down systems

How We Work With You

When you apply through Get A Job.ai, our recruiting team will review your background and schedule an initial screening call. If there's a strong match, we'll coordinate your interview process with our client, which includes a technical interview with their DevOps team and a final conversation with senior engineering leadership. We ask that you work exclusively through Get A Job.ai throughout this process and not contact the client directly.

Location and Benefits

This is a hybrid role based in Paris. Our client offers relocation support for the right candidate, competitive equity, comprehensive medical insurance, paid time off in line with French regulations, hardware and tools, covered subscriptions for development tools, and regular team off-sites.

Pay

Compensation details will be discussed during the screening process based on experience level.

Equal Employment Opportunity: Get A Job.ai is committed to inclusive recruiting practices. We welcome applications from candidates of all backgrounds and work with our clients to ensure fair and equitable hiring processes.