职位介绍
摘自雇主发布的职位信息 · Algolia · 发布于2026年9月18日
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.
Algolia was built to help users deliver intuitive search experiences across websites and mobile applications. Our Search API serves thousands of customers in more than 100 countries, answering billions of queries every month.
Join AI Platform: Powering AI in Production
AI Platform builds and operates the shared production foundations supporting Algolia's evolving AI ecosystem.
The team works at the intersection of Site Reliability Engineering, cloud infrastructure, software engineering and AI, helping engineering teams bring AI-powered capabilities to production reliably, securely and efficiently. Our scope includes Kubernetes, cloud infrastructure, CI/CD, networking, databases, observability, reliability, FinOps and production operations.
We are looking for a Senior Site Reliability Engineer who can independently own complex production systems, drive technical decisions across teams, and help shape reliable and efficient infrastructure at scale.
YOU WILL:
- Own and evolve production infrastructure supporting AI-related workloads and services at scale
- Design and operate highly available Kubernetes-based platforms
- Drive reliability through SLOs, observability, capacity planning and production guardrails
- Lead complex production investigations and turn findings into durable architectural improvements
- Improve shared infrastructure across networking, databases, service communication and compute
- Build better CI/CD, progressive delivery, automation and developer experience
- Drive cloud infrastructure efficiency and FinOps initiatives
- Participate in and improve on-call and incident response
- Mentor engineers and raise the technical bar for reliability and production engineering
YOU MIGHT BE A FIT IF YOU HAVE:
- Strong hands-on production experience with at least one major cloud provider: GCP, AWS or Azure
- Strong experience designing and operating Kubernetes and cloud-native production systems at scale
- Strong understanding of distributed systems, networking and reliability engineering