Senior Site Reliability Engineer, AI Platform

Algolia; Paris; Hybride; EUR 70 000 - 97 000; Plein temps

Résumé du poste

Algolia is seeking a production reliability engineer for the AI Platform to own and evolve production infrastructure at scale. You design and operate Kubernetes-based platforms, driving reliability via SLOs, observability and capacity planning.

The role emphasizes automation, shared infrastructure improvements, and secure AI workload delivery while mentoring engineers and balancing cost and velocity.

Qualifications

• Hands-on production experience with major cloud providers (GCP/AWS/Azure).
• Designing and operating Kubernetes and cloud-native systems at scale.
• Strong understanding of distributed systems and reliability engineering.
• Ability to own cross-team technical problems and drive outcomes.

Responsabilités

• Own and evolve production infrastructure for AI 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.
• Build better CI/CD, automation and developer experience.
• Mentor engineers and raise the technical bar for reliability.

Connaissances

GCP

AWS

Azure

Kubernetes

Distributed systems

Observability

Automation

English

Description du poste

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.

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.

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.

The annual base salary compensation range for this role reflects market pay data within this location. The exact compensation offered for this role may vary depending on specific location and job-related knowledge, technical skills, and experience; and is only one part of our Total Rewards philosophy to compensate and recognize employees for their work.

Base Salary Pay Range

€69.768—€96.900 EUR

Flexible Workplace Strategy

Algolia’s flexible workplace model is designed to empower all Algolians 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 receive and give constructive feedback.
• CARE - Genuine care about other team members, our clients and the decisions we make in the company.
• HUMILITY - Aptitude for learning from others, putting ego aside.

We’re looking for talented, passionate people to help build the world’s best search and discovery technology. We value autonomy, diversity, and collaboration. We’re committed to creating an inclusive workplace where everyone is respected and supported—regardless of race, age, ancestry, religion, sex, gender identity, sexual orientation, marital status, color, veteran status, disability, or socioeconomic background.