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.
• 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.
• Work with Infrastructure, Security, FinOps, and engineering teams to deliver reliable, secure, and cost-aware platform capabilities.

YOU MIGHT BE A FIT IF YOU HAVE:

• Hands-on production knowledge of AWS or GCP.
• Practical Kubernetes knowledge and an interest in operating it in production.
• Familiarity with infrastructure as code, ideally Terraform.
• Programming or scripting skills in Python, Go, or an equivalent language.
• Strong Linux and networking fundamentals.
• A strong interest in reliability, automation, and solving production problems.
• Comfort adopting AI-assisted engineering tools, with sound judgement for critical production systems.
• The 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.