Senior Site Reliability Engineer, AI Platform

Algolia, Inc.; France; Hybrid; EUR 70,000 - 97,000; Full time

Job summary

Algolia, Inc. is seeking a Senior Site Reliability Engineer to own and evolve production infrastructure for AI-related workloads at scale.

You will design and operate highly available Kubernetes-based platforms, drive reliability through SLOs and observability, and lead complex production investigations to improve architectures. The role emphasizes automation, capacity planning, and operational excellence while collaborating across teams to raise the technical bar for reliability and production

Qualifications

• Hands-on production experience with a major cloud provider.
• Experience designing and operating Kubernetes platforms at scale.
• Strong understanding of distributed systems and reliability.
• Ability to own cross-team technical problems.

Responsibilities

• Own and evolve production infrastructure for AI-related workloads at scale.
• Design and operate highly available Kubernetes-based platforms.
• Drive reliability with SLOs, observability, and capacity planning.
• Lead complex production investigations and architectural improvements.
• Improve shared infrastructure across networking, databases, and compute.
• Enhance CI/CD, automation, and developer experience.
• Mentor engineers and raise the bar for reliability.

Skills

Cloud platforms (GCP/AWS/Azure)

Kubernetes

Distributed systems

Networking and reliability engineering

Automation and CI/CD

English communication

Job description

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
• Experience operating business-critical systems with strong availability, scalability and operational requirements
• Ability to independently own ambiguous, cross-team technical problems and drive them to measurable outcomes
• Strong automation mindset and ability to balance reliability, engineering velocity and cost
• Excellent written and spoken English

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 to accelerate engineering and operations

Algolia does not discriminate on the basis of race, color, religion, sex, age, national origin, military status, veteran status, disability status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

Base Salary Pay Range €69.768-€96.900 EUR

FLEXIBLE WORKPLACE STRATEGY:

Algolia 's flexible workplace model is designed to empower all Algolia ns to fulfill our mission to power search and discovery with ease. We place an emphasis on an individual's impact, contribution, and output, over their physical location. Algolia is a high-trust environment and many of our team members have the autonomy to choose where they want to work and when. We have a global presence with offices in Paris, NYC, London, Sydney and Bucharest, however we also offer many of our team members the option to work remotely either as fully remote or hybrid-remote employees. Positions listed as "Remote" are only available for remote work within the specified country. Positions listed within a specific city are only available in that location - depending on the role it may be available with either a hybrid-remote or in-office schedule.

WE'RE LOOKING FOR SOMEONE WHO CAN LIVE OUR VALUES:

• GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment.
• TRUST - Willingness to trust our co-workers and to take ownership.
• CANDOR - Ability to