Senior Software Engineer - Search Platform
About this role
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 Senior Software Engineer to join the search team. We are responsible 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 Search and Indexing
Be responsible for operations for Search 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).
Responsibilities
- Be a key contributor to the design and development of Search and Indexing
- Be responsible for operations for Search 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
- 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).
Requirements
- Experience in Go
- Experience in Kubernetes
- Sensitivity to Site Reliability Engineering
- 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.
- Our open positions may appear on third-party job boards, but the best way to apply safely is directly through our careers page.
- All genuine communication from Algolia will come from an @algolia.com email address. If you receive an email from someone claiming to work at Algolia who does not have an @algolia.com email address, please do not respond or share any personal information.
- We’ll never ask for payments, purchases, or financial details during the hiring process.
Nice to have
- Experience in Go
- Experience in Kubernetes
- Sensitivity to Site Reliability Engineering