Senior Site Reliability Engineer, IaaS

Paris, France

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About the Position

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.

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The Team

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

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The Opportunity

As a Senior Site Reliability Engineer in IaaS, you will help shape the next generation of Algolia’s production infrastructure. You will lead major parts of the Cloud Baseline and the reliable lifecycle capabilities that enable teams to operate and migrate workloads safely on a cloud-native platform. You will work across cloud foundations, Kubernetes, platform engineering, automation, reliability, and large-scale production operations.

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Responsibilities

• Lead the design and evolution of Cloud Baseline capabilities across cloud providers.
• Design and automate cloud infrastructure foundations for production Kubernetes clusters.
• Lead complex infrastructure initiatives, such as cloud-environment standardization, cluster lifecycle automation, upgrade strategies, or infrastructure-drift reduction.
• Ensure cloud and Kubernetes foundations, lifecycle operations, and operational guardrails are reliable and scalable.
• Treat the platform as a product: define clear interfaces, reusable modules, self-service workflows, documentation, and reliable operational standards.
• 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 to improve fleet-scale analysis, infrastructure documentation, and 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.

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Requirements

• Strong hands-on production expertise with AWS or GCP.
• Deep practical Kubernetes knowledge, including its cloud infrastructure dependencies and operational challenges.
• Ability to design, build, and operate reliable cloud infrastructure in production.
• Strong infrastructure-as-code and automation skills, ideally Terraform and Python, Go, or equivalent.
• Solid knowledge of Linux, networking, distributed systems, and production operations.
• A platform mindset: you design for the 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.
• A track record of leading complex technical initiatives and delivering durable solutions across teams.
• Comfort adopting AI-assisted engineering tools, with strong judgement for critical production systems.
• Excellent spoken and written English skills.

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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.

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We Offer

• Base Salary Pay Range: €69.768 - €96.900 EUR per year.
• Flexible workplace strategy: Emphasis on individual impact, contribution, and output over physical location.
• Global presence with offices in Paris, NYC, London, Sydney, and Bucharest.
• Option to work remotely either as fully remote or hybrid-remote employees.

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About the Company

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. We value autonomy, diversity, and collaboration and are committed to creating an inclusive workplace where everyone is respected and supported.

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Important Notice for Candidates

We’ve recently seen an increase in recruitment scams targeting job seekers. To help protect yourself, please keep the following in mind:

• Our open positions may appear on third-party job boards, but the best way to apply safely is directly through our careers page.
• All genuine communication from Algolia will come from an @algolia.com email address. If you receive an email from someone claiming to work at Algolia who does not have an @algolia.com email address, please do not respond or share any personal information.
• We’ll never ask for payments, purchases, or financial details during the hiring process.

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Ready to Apply?

If you share our values and our enthusiasm for building the world’s best search & discovery technology, we’d love to review your application!