14 hours ago
Paris, FranceMid Level
Responsibilities
- Build and improve cloud baseline capabilities covering identity and access, networking, security, resource inventory, tagging, and auditability.
- Develop and maintain infrastructure as code and automation for cloud environments and Kubernetes infrastructure.
- Build reliable, repeatable cloud and cluster lifecycle operations and self-service platform capabilities.
- Create reusable modules and documentation while reducing manual work and configuration drift through automation, testing, GitOps practices, and standardization.
- Improve observability, monitoring, alerting, capacity management, and operational documentation.
- Investigate production issues, participate in the on-call rotation, and implement lasting reliability improvements.
- Collaborate with Infrastructure, Security, FinOps, and engineering teams on reliable, secure, and cost-aware platform capabilities.
- Use AI-assisted engineering tools where appropriate for infrastructure analysis, documentation, and repeatable production changes.
Requirements
- Hands-on production knowledge of AWS or GCP.
- Practical Kubernetes knowledge and interest in operating Kubernetes 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.
- Strong interest in reliability, automation, and solving production problems.
- Comfort adopting AI-assisted engineering tools with sound judgment for critical production systems.
- Clear communication skills and ability to work effectively with a distributed team.
- Excellent spoken and written English skills.
- Nice-to-have experience includes multiple public cloud providers, GitOps or policy-as-code tools such as Argo CD, Helm, OPA, or Kyverno, and cloud migration, platform engineering, or large-scale infrastructure transformation.
Benefits
- Flexible workplace model with fully remote or hybrid-remote options depending on the specified country or city and role.
- Global office locations include Paris, New York City, London, Sydney, and Bucharest.
- Inclusive, high-trust work environment emphasizing autonomy, diversity, collaboration, and impact.
Tech Stack
Categories
DevOpsSite Reliability
About Algolia
Algolia builds a SaaS platform of APIs for search, discovery, and recommendations used by developers and product teams to power apps and ecommerce. Its engine supports keyword and vector search, personalization, and browse at scale, with SDKs and tooling for fast integration. Founded in 2012 and headquartered in Palo Alto, it is privately held and serves brands such as Stripe, Under Armour, and Walgreens.