Site Reliability Engineer, IaaS

About This Opportunity

We are representing a confidential AI search technology company undergoing a significant infrastructure transformation. Our client is transitioning from a large-scale bare-metal server fleet to a unified cloud and Kubernetes platform. This is a hands-on Site Reliability Engineer role based in Paris, where you'll help build the next generation of production infrastructure for a platform that serves billions of requests.

As an SRE on the Infrastructure as a Service team, you'll contribute to cloud baseline capabilities and reliable lifecycle operations that enable engineering teams to operate and migrate workloads safely. This is not a lift-and-shift project—it's an opportunity to rethink how production infrastructure is provisioned, secured, operated, and scaled as a consumable platform rather than a manual request queue.

Responsibilities

• Build and improve cloud baseline capabilities including identity and access management, networking, security, resource inventory, tagging, and auditability
• Develop and maintain infrastructure as code and automation for cloud environments and Kubernetes infrastructure
• Contribute to reliable, repeatable cloud and cluster lifecycle operations
• Build self-service capabilities, reusable modules, and clear documentation that make the safe path the easy path for platform consumers
• Reduce manual work and configuration drift through automation, testing, GitOps practices, and standardization
• Use automation and AI-assisted engineering tools to improve infrastructure analysis, documentation, and safe, repeatable changes
• Improve observability, monitoring, alerting, capacity management, and operational documentation
• Investigate production issues, participate in the on-call rotation, and turn lessons learned into lasting improvements
• Collaborate with Infrastructure, Security, FinOps, and engineering teams to deliver reliable, secure, and cost-aware platform capabilities

What We're Looking For

Required Skills:

• Hands-on production experience with AWS or GCP
• Practical Kubernetes knowledge and interest in operating it in production
• Familiarity with infrastructure as code, ideally Terraform
• Programming or scripting skills in Python, Go, or equivalent language
• Strong Linux and networking fundamentals
• Strong interest in reliability, automation, and solving production problems
• Comfort adopting AI-assisted engineering tools with sound judgment for critical production systems
• Ability to communicate clearly and work effectively with a distributed team
• Excellent spoken and written English skills

Nice to Have:

• Familiarity with more than one public cloud provider
• Knowledge of GitOps or policy-as-code tooling such as Argo CD, Helm, OPA, or Kyverno
• Experience with cloud migration, platform engineering, or large-scale infrastructure transformation

How We Work With You

When you apply through Get A Job.ai, our talent team will review your profile and conduct an initial screening to understand your background and interests. If there's a strong match, we will submit your candidacy to our client for consideration. Please do not contact the client directly—all communication and coordination will flow through Get A Job.ai to ensure a professional and organized process.

Pay

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

Equal Opportunity: Get A Job.ai is committed to inclusive recruiting practices. We welcome candidates of all backgrounds and work to ensure fair consideration throughout the hiring process.