Senior Site Reliability Engineer, AI Platform
About this role
Engineers who thrive on independently owning complex production systems and shaping reliable infrastructure at scale will find a natural home in this role. The AI Platform team at Algolia builds and operates the shared production foundations that support an evolving AI ecosystem, working at the intersection of site reliability engineering, cloud infrastructure, software engineering, and artificial intelligence.
In daily work, the selected engineer takes ownership of production infrastructure for AI-related workloads, designs and operates highly available Kubernetes platforms, and drives system reliability through service level objectives and observability. The position exists to help engineering teams bring AI-powered capabilities to production reliably, securely, and efficiently. Ideal candidates bring a strong automation mindset, solid experience with major cloud providers, and the ability to balance reliability, engineering velocity, and operational cost.
What you will do
- 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 while participating in on-call and incident response.
What you need
- Strong hands-on production experience with at least one major cloud provider such as 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 principles.
- Experience operating business-critical systems with strict availability, scalability, and operational requirements.
- Ability to independently own ambiguous, cross-team technical problems and drive them to measurable outcomes.
- Strong automation mindset with the ability to balance reliability, engineering velocity, and cost.
- Excellent written and spoken English communication skills.
Nice to have
- Go and/or Python engineering experience
- Experience with infrastructure supporting AI/ML workloads, model serving, GPUs or other compute-intensive systems
- Comfortable working AI-first, using coding agents, agentic development workflows, AI-assisted debugging and automation
Skills and tech stack
Questions candidates ask
What is the remote work and office policy?
Algolia has a flexible workplace model where many team members have the autonomy to choose where they want to work and when, with options for fully remote or hybrid-remote arrangements depending on the position and location.
What is the salary range for this role?
The annual base salary compensation range for this role is €69.768 to €96.900 EUR, reflecting market pay data within the specified location.
What does the AI Platform team actually do?
The team builds and operates the shared production foundations supporting Algolia's evolving AI ecosystem at the intersection of site reliability engineering, cloud infrastructure, software engineering, and AI.
What are the core technical expectations?
Candidates need strong hands-on production experience with a major cloud provider, solid background in designing and operating Kubernetes at scale, and a deep understanding of distributed systems and reliability engineering.