Site Reliability Engineer, IaaS

Algolia is the retrieval intelligence layer that turns intent into trusted, decision-grade outcomes. Powering more than 1.7 trillion queries a year for over 18,000 customers with millisecond latency and 99.999% reliability, we are the recognized leader for Search and Product Discovery by top industry analyst firms. The Algolia platform turns a company's products, content, and business rules into data that humans, applications and AI agents can act upon. The result is trusted customer experiences with stronger conversions for measurable business impact.

The team

The Infrastructure as a Service team is at the center of one of Algolia’s most consequential engineering transformations.

For years, Algolia has operated a production fleet of approximately 4,000 bare-metal servers to deliver the reliability, low latency, and scalability that our customers expect. We are now building the foundations of a unified cloud and Kubernetes platform designed to support Algolia’s growth for years to come.

. We are now building the foundations of a unified cloud and Kubernetes platform designed to support Algolia’s growth for years to come.

This is not a lift-and-shift project. It is an opportunity to rethink how Algolia provisions, secures, operates, observes, upgrades, and scales production infrastructure and to build it as a platform that engineers can safely consume, rather than a queue of manual requests.

The opportunity

As a Site Reliability Engineer in IaaS, you will help build the next generation of Algolia’s production infrastructure.

You will contribute to the cloud baseline and reliable lifecycle capabilities that enable teams to operate and migrate workloads safely on a cloud-native platform. You will work across cloud foundations, Kubernetes, automation, reliability, and large-scale production operations.

As a P3 engineer, you will be a hands-on contributor. You will build, operate, and improve production infrastructure while developing deep expertise in cloud, Kubernetes, reliability, and automation.

YOU WILL:

• Build and improve Cloud Baseline capabilities, including identity and access, 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.

• Help 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 standardisation.

• Use automation and AI-assisted engineering tools where appropriate to improve infrastructure analysis, documentation, and safe, repeatable changes.