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Site Reliability Engineer, IaaS

Help build the next generation of Algolia’s production infrastructure as a Site Reliability Engineer in IaaS.

Location
Paris, France
Compensation
Not disclosed
Level
mid
Type
full time · Hybrid

Posted by employer 1 month ago

First seen on Joblaze 1 month ago

Last verified on the company career page 13 hours ago

What you'll build

  • Build and improve Cloud Baseline capabilities
  • Develop and maintain infrastructure as code
  • Contribute to reliable cloud and cluster lifecycle operations
  • Help build self-service capabilities
  • Investigate production issues

Must have

  • Hands-on production knowledge of AWS or GCP
  • Practical Kubernetes knowledge
  • Familiarity with infrastructure as code, ideally Terraform
  • Programming or scripting skills in Python, Go, or an equivalent language
  • Strong Linux and networking fundamentals

Nice to have

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

AI in the day-to-day

Use automation and AI-assisted engineering tools where appropriate to improve infrastructure analysis and documentation.

Not disclosed in this posting: compensation, years of experience, visa sponsorship.

Benefits

Remote Work

Joblaze summary

In the role of Site Reliability Engineer for IaaS at Algolia, the individual will focus on enhancing the production infrastructure by developing cloud baseline capabilities and automating lifecycle operations. Key skills include hands-on experience with AWS or GCP, practical Kubernetes knowledge, and proficiency in infrastructure as code, particularly with Terraform. This position is suited for engineers with a strong background in reliability and automation, who are comfortable working in a collaborative, distributed team environment.

Joblaze insights

  • Listed about a month ago — first seen on Joblaze September 16, 2026. Last confirmed on Algolia's careers page November 2, 2026.

Quick facts

Is the Site Reliability Engineer, IaaS role remote?
It's hybrid — Algolia expects some on-site time in Paris, France.
Where is the role based?
Algolia is hiring for this position in Paris, France.
What's the tech stack?
Joblaze extracted these technologies from the posting: AWS, GCP, Go, Kubernetes, Linux, Python.
What seniority level is this role?
Algolia targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Site Reliability Engineer, IaaS role at Algolia.

From the original posting

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.
  • 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.
  • 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.

Algolia does not discriminate on the basis of race, color, religion, sex, age, national origin, military status, veteran status, disability status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

The annual base salary compensation range for this role reflects market pay data within this location. The exact compensation offered for this role may vary depending on specific location and job-related knowledge, technical skills, and experience; and is only one part of our Total Rewards philosophy to compensate and recognize employees for their work.

Base Salary Pay Range
€56.508—€78.540 EUR

FLEXIBLE WORKPLACE STRATEGY:

Standard company text repeated across Algolia's postings is omitted here.

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