2 days ago
Paris, FranceSenior
Responsibilities
- 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 implement durable architectural improvements.
- Improve shared networking, databases, service communication, compute, 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.
Requirements
- 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.
- Experience operating business-critical systems with demanding availability, scalability, and operational requirements.
- Ability to independently own ambiguous, cross-team technical problems and drive measurable outcomes.
- Strong automation mindset and ability to balance reliability, engineering velocity, and cost.
- Excellent written and spoken English.
- Go and/or Python engineering experience is preferred.
- Experience with infrastructure supporting AI/ML workloads, model serving, GPUs, or other compute-intensive systems is preferred.
- Comfort working AI-first with coding agents, agentic development workflows, AI-assisted debugging, and automation 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; city-listed roles are limited to that location and may be hybrid-remote or in-office.
- Algolia offers autonomy over where and when many team members work.
- Inclusive workplace with diversity and employee support commitments.
Categories
Site 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.