Senior Site Reliability Engineer - Search

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.

We are looking for a Site Reliability Engineer to join the Search team. We are responsible for the cloud-based scalable architecture for NeuralSearch, our AI search engine, which incorporates both keyword and vector search. Our work consists of distributed components which orchestrate the building and storage of indices containing customer data and then querying that data to return search results. The role requires understanding and solving the challenges that come with complex distributed systems.

The team is composed of engineers, most of whom are fully remote, with different skill sets and backgrounds. Your experience, your knowledge and your perspective will add to this diversity and help the team deliver products that make a difference.

YOU WILL:

• Be a key contributor to the design and development of the Search and Indexing systems

• Be responsible for operations for the Search system including participation in out-of-hours on-call rota

• Work with a full-remote team, with the option to be either full-remote, hybrid or office based (Paris) yourself

• Be responsible for the quality and soundness of the system

• Share your expertise on distributed systems

• Work with other teams to identify, troubleshoot and resolve high impact issues

YOU MIGHT BE A FIT IF YOU HAVE:

• Experience designing and operating distributed systems in production

• Experience working with large datasets and high traffic

• Rigor in high code quality, automated testing, and other engineering best practices

• Excellent spoken and written English skills

• Experience at our current stage and beyond ($50-200M ARR range, high growth, lots of change and building internal infrastructure).

• Experience in Kubernetes

NICE TO HAVE:

• Experience in Go

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.