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.
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.
FLEXIBLE WORKPLACE STRATEGY:
Algolia’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. Algolia 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.
IMPORTANT NOTICE FOR CANDIDATES - Recruitment Fraud Notice
We’ve recently seen an increase in recruitment scams targeting job seekers. To help protect yourself, please keep the following in mind:
- 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.
READY TO APPLY?
If you share our values and our enthusiasm for building the world’s best search & discovery technology, we’d love to review your application!
Skills Required
- Experience designing and operating distributed systems in production
- Experience working with large datasets and high traffic
- High code quality, automated testing, and engineering best practices
- Excellent spoken and written English skills
- Experience in a high-growth company building internal infrastructure
- Experience with Kubernetes
- Experience with Go
What We Do
Algolia is the search-as-a-service platform that enables companies of all sizes to deliver fast and relevant digital experiences that drive real results. With Algolia, consumers are able to find and discover what they want easily across web, mobile, and voice. Algolia allows developers and business teams to build and optimize engaging search experiences to increase online engagement, conversion and revenue. Founded in 2012, we're backed by over $175M in funding from Accel Partners, Alven Capital, Point Nine Capital, Storm Ventures, Salesforce Ventures and others. Our most recent fundraising round was our Series D in 2021 in which we raised $150 million. The team is headquartered in San Francisco with offices in Paris, London, New York City, Bucharest and Sydney. To learn more, visit www.algolia.com.
