Site Reliability Engineer, AI Platform

United States Digital Space LLC; Paris (TX); Hybrid; USD 80,000 - 111,000; Full time

Job summary

Algolia is seeking a Site Reliability Engineer to strengthen production fundamentals and automate complex systems at scale. You will own and operate Kubernetes-based platforms, improve reliability with observability, and drive deployment automation across AI-related workloads.

The role requires hands-on experience across cloud providers and strong scripting skills. Join a distributed team with offices in Paris, NYC, London, Sydney and Bucharest, and the option for remote or hybrid-remote work.

Qualifications

• Solid hands-on Kubernetes knowledge, including workloads, resource management, and production operations.
• Strong experience with Infrastructure as Code, and the lifecycle of cloud infrastructure.
• Solid experience building and operating CI/CD pipelines and automated deployment workflows.
• Hands-on experience with at least one major cloud provider: GCP, AWS or Azure.
• Good understanding of networking, distributed systems and reliability engineering.
• Experience with monitoring, observability and troubleshooting production systems.
• Strong automation mindset and the ability to take ownership of well-defined production systems and progressively tackle more complex problems.
• Excellent written and spoken English.

Responsibilities

• Build and operate production infrastructure supporting AI-related workloads and services.
• Operate and improve highly available Kubernetes-based platforms.
• Improve reliability through SLOs, observability, alerting and capacity management.
• Investigate production issues and turn findings into durable fixes and improvements.
• Work across networking, databases, compute and service infrastructure.
• Improve CI/CD pipelines, deployment automation and developer experience.
• Build and maintain infrastructure using Infrastructure as Code.
• Participate in on-call, incident response and operational improvements.
• Collaborate with experienced engineers across AI Platform and progressively take ownership of broader production areas.

Skills

Kubernetes

Infrastructure as Code

CI/CD pipelines

GCP

AWS

Azure

Networking

Observability

Automation

English proficiency

Tools

Go

Python

Job description

the company 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 the company 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.

the company 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 the company'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 Site Reliability Engineer with strong production fundamentals who enjoys solving operational problems, automating repetitive work and progressively taking ownership of complex systems at scale.

YOU WILL:

• Build and operate production infrastructure supporting AI-related workloads and services
• Operate and improve highly available Kubernetes-based platforms
• Improve reliability through SLOs, observability, alerting and capacity management
• Investigate production issues and turn findings into durable fixes and improvements
• Work across networking, databases, compute and service infrastructure
• Improve CI/CD pipelines, deployment automation and developer experience
• Build and maintain infrastructure using Infrastructure as Code
• Participate in on-call, incident response and operational improvements
• Collaborate with experienced engineers across AI Platform and progressively take ownership of broader production areas

YOU MIGHT BE A FIT IF YOU HAVE:

• Solid hands-on Kubernetes knowledge, including workloads, resource management, and production operations
• Strong experience with Infrastructure as Code, and the lifecycle of cloud infrastructure
• Solid experience building and operating CI/CD pipelines and automated deployment workflows
• Hands-on experience with at least one major cloud provider: GCP, AWS or Azure
• Good understanding of networking, distributed systems and reliability engineering
• Experience with monitoring, observability and troubleshooting production systems
• Strong automation mindset and the ability to take ownership of well-defined production systems and progressively tackle more complex problems
• Excellent written and spoken English

NICE TO HAVE:

• Go and/or Python engineering experience
• Exposure to AI/ML infrastructure and inferences
• Comfortable working AI-first, using coding agents, agentic workflows and AI-assisted debugging to accelerate engineering and operations

the company 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:

the company’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. the company 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.