Software Engineer - Search Platform - Remote

Overview

Algolia was built to help users deliver an intuitive search-as-you-type experience on their websites and mobile apps. We provide a search API used by thousands of customers in more than 100 countries. Billions of search queries are answered every month thanks to the code we push into production every day.

We are looking for a Software Engineer to join the Metis team. We are responsible for Metis, the cloud-based scalable architecture for NeuralSearch, our AI search engine, which incorporates both keyword and vector search. Metis 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.

In Short

• Be a key contributor to the design and development of the Metis system
• Be responsible for operations for the Metis 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

Requirements

• 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).

Benefits

• Experience in Go
• Experience in Kubernetes
• Sensitivity to Site Reliability Engineering