Senior Site Reliability Engineer, IaaS

Responsibilities

We are representing a fast-growing search technology organization undergoing a transformational shift from bare-metal infrastructure to a unified cloud and Kubernetes platform. As a Senior Site Reliability Engineer on the Infrastructure as a Service team, you will lead critical components of this evolution.

In this role, you will:

• Lead the design and evolution of cloud baseline capabilities across cloud providers, including identity and access management, networking, account structure, security, auditability, tagging, inventory, and cost visibility
• Design and automate cloud infrastructure foundations that enable a growing fleet of production Kubernetes clusters
• Lead complex infrastructure initiatives such as cloud-environment standardization, cluster lifecycle automation, upgrade strategies, and infrastructure-drift reduction
• Ensure cloud and Kubernetes foundations, lifecycle operations, and operational guardrails are reliable and scalable enough to support large-scale workload migration without compromising customer experience
• Treat the platform as a product by defining clear interfaces, reusable modules, self-service workflows, documentation, and reliable operational standards for internal consumers
• Build automated guardrails for security, compliance, reliability, and safe change management
• Improve platform efficiency through capacity planning, rightsizing, autoscaling, resource governance, and clear cost visibility
• Use automation and AI-assisted engineering tools where appropriate to improve fleet-scale analysis and safe operational changes
• Mentor engineers, share knowledge, and raise the quality of infrastructure design and operations across the team
• Collaborate with Infrastructure, Security, FinOps, and engineering teams to align technical decisions and deliver high-impact platform capabilities
• Participate in the on-call rotation and lead the resolution of complex production issues

What We're Looking For

Required skills and experience:

• Strong hands-on production expertise with AWS or GCP
• Deep practical Kubernetes knowledge, including its cloud infrastructure dependencies and operational challenges
• Proven ability to design, build, and operate reliable cloud infrastructure in production environments
• Strong infrastructure-as-code and automation skills, ideally with Terraform and Python, Go, or equivalent languages
• Solid knowledge of Linux, networking, distributed systems, and production operations
• A platform mindset with the ability to design for engineers who consume what you build, balancing velocity, correctness, security, and reliability
• Awareness of cloud cost drivers and the ability to treat cost as an engineering constraint
• Track record of leading complex technical initiatives and delivering durable solutions across teams
• Comfort adopting AI-assisted engineering tools, with strong judgment for critical production systems
• 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
• Exposure to cloud migration, platform engineering, FinOps, or large-scale infrastructure transformation

How We Work with You

When you apply through Get A Job.ai, our recruiting team will carefully review your qualifications and conduct an initial screening. If there's a strong match, we will submit your profile to our client for consideration. This is a confidential search, so please do not attempt to contact the client directly—all communication and coordination will flow through our talent team at Get A Job.ai.

This position is based in Paris and may offer hybrid-remote flexibility depending on the client's workplace policies.

Pay

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

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