Algolia is set to enable every company to create world-class Search and Discovery experiences with an API-first approach. Performance and Scalability is at the heart of our mission: we power 1.5 trillion searches a year, for 10K+ customers all over the world.
If you're a problem solver, able to think outside the box and eager to nurture others and learn from them, then this is your challenge!
The Team
The Fleet team is a Site Reliability Engineering team focusing on one goal: the Search products should always be available. To make this possible, the Fleet team creates pragmatic solutions to optimize the Search products availability and costs at scale, taking into account the needs of customers, the product teams, and the many engineering teams involved in delivering a unique Search Experience to our customers.
The Opportunity
The team is looking for an individual who has a first experience of building and operating scalable architectures. You will contribute to the delivery of solutions that support other engineering teams and will have a direct impact on the success of Algolia's Search products.
In this role, you'll help design and implement systems focused on reliability, scalability, and cost efficiency, while also having opportunities to grow your skills and collaborate with team members.
Your role will include
- Operating the Search products, building self-healing and automated incident response mechanisms
- Building components that improve reliability and performance
- Monitoring and computing the SLO and the error budget of the product you operate
- Reducing the toil and the technical debt by automating tasks and increasing the quality of existing components
- Managing Incidents and Customer Requests
You might be a good fit if you have
- Knowledge of at least one programming language (Python, Golang, Ruby) and you are familiar with software craftsmanship
- Experience working with APIs
- A focus on designing reliable, operable, and highly available applications
- Familiarity with at least Public Cloud Providers like GCP, AWS, or Microsoft Azure, and their Kubernetes service
- A good understanding of Linux system administration, networking, and troubleshooting
- Strong communication and organizational skills
Team’s current stack:
- Programming languages: Golang, Python, Ruby
- CI/CD:Github Actions, CircleCI
- IaC & configuration management:Terraform, Chef
- Platform: Linux, Kubernetes
- Hosting: Bare Metal Servers & Cloud on AWS & Azure
- Monitoring: Datadog & custom monitoring stack for our Search infrastructure
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