Senior SRE – AI Search & Distributed Systems (Remote)

Algolia, Inc.; Grenoble; Hybride; EUR 110 000 - 150 000; Plein temps

Résumé du poste

Algolia is seeking a Senior Site Reliability Engineer to join the Search team. You will help design and operate the cloud-based, distributed architecture powering NeuralSearch and queries at scale.

The role allows flexible work arrangements with options for full-remote, hybrid or Paris office-based work, and includes on-call responsibilities to maintain 99.999% reliability. Ideal candidates will have strong production experience with distributed systems, handling large datasets and high traffic,

Qualifications

• 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.

Responsabilités

• 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.

Connaissances

Distributed systems

On-call experience

Go

English proficiency

Large-scale data / high traffic

Description du poste

Algolia is seeking a Senior Site Reliability Engineer to join the Search team. You will help design and operate the cloud-based, distributed architecture powering NeuralSearch and queries at scale.

The role allows flexible work arrangements with options for full-remote, hybrid or Paris office-based work, and includes on-call responsibilities to maintain 99.999% reliability. Ideal candidates will have strong production experience with distributed systems, handling large datasets and high traffic,