2 days ago
Paris, FranceSenior
Responsibilities
- Build and operate production infrastructure supporting AI-related workloads and services.
- Operate and improve highly available Kubernetes-based platforms.
- Improve reliability through SLOs, observability, alerting, and capacity management.
- Investigate production issues and implement durable fixes and operational improvements.
- Work across networking, databases, compute, and service infrastructure.
- Improve CI/CD pipelines, deployment automation, and developer experience.
- Build and maintain infrastructure using Infrastructure as Code.
- Participate in on-call, incident response, and broader operational improvements.
- Progressively take ownership of increasingly complex production systems.
Requirements
- Solid hands-on Kubernetes knowledge, including workloads, resource management, and production operations.
- Strong experience with Infrastructure as Code and the lifecycle of cloud infrastructure.
- Solid experience building and operating CI/CD pipelines and automated deployment workflows.
- Hands-on experience with at least one major cloud provider: GCP, AWS, or Azure.
- Good understanding of networking, distributed systems, and reliability engineering.
- Experience with monitoring, observability, and troubleshooting production systems.
- Strong automation mindset and ability to take ownership of production systems.
- Excellent written and spoken English.
- Go or Python engineering experience is preferred.
- Exposure to AI/ML infrastructure and inference is preferred.
- Comfort working with coding agents, agentic workflows, and AI-assisted debugging is preferred.
Benefits
- Flexible workplace model with fully remote or hybrid-remote options depending on the role and location.
- Remote positions are limited to remote work within the specified country, while city-listed positions are limited to that location and may be hybrid-remote or in-office.
- Annual base salary range of €69,768–€96,900 EUR.
- Inclusive workplace with autonomy, diversity, collaboration, and employee support.
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.