Summary
Join Algolia's Optimization team and contribute to the design, development, and deployment of scalable optimization systems. Collaborate with cross-functional teams to enhance AI-driven features, focusing on robust analytics and A/B testing tools. Champion high-quality code and system reliability through automated testing and best practices. Lead the design and implementation of new features. The ideal candidate possesses a deep understanding of data structures, algorithms, and software design, along with experience in Golang or Python and working with complex, distributed backend systems. Algolia offers a fully remote, diverse, and inclusive work environment.
Requirements
- Deep understanding of data structures, algorithms, and software design
- A commitment to high-quality code, automated testing, and engineering best practices
- Demonstrated experience working with complex, distributed backend systems and large-scale codebases
- A strong sense of ownership and desire to drive improvements in projects
- You have experience programming in Golang or Python
- Professional spoken and written English, essential for our remote-first environment
Responsibilities
- Collaborate in the design, development, and deployment of scalable optimization systems
- Champion high standards in code quality and system reliability through automated testing and best practices
- Work closely with cross-functional teams to identify, troubleshoot, and resolve critical issues
- Lead the design and implementation of various features into our products
Preferred Qualifications
- Hands on experience working with SQL
- A strong statistical mindset with familiarity in A/B testing concepts, frameworks, and industry trends
Benefits
- 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
- While we have a global presence with physical offices in Paris, NYC, London, Sydney and Bucharest, we also offer many of our team members the option to work remotely either as fully remote or hybrid-remote employees
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