Senior Site Reliability Engineer
Algolia is hiring a Senior Site Reliability Engineer for its Fleet team, an SRE team focused on one goal: ensuring the Search products are always available. The team creates pragmatic solutions to optimize the availability and cost of Search products at scale, balancing the needs of customers, product teams and the engineering teams that deliver the Search experience. You will help design and implement systems focused on reliability, scalability and cost efficiency, operate the Search products, build self-healing and automated incident response mechanisms, and monitor SLOs and error budgets. The base salary range is €69,768–€93,500 EUR, with remote options.
Responsibilities
- ▹Operate the Search products and build self-healing, automated incident response mechanisms
- ▹Build components that improve reliability and performance
- ▹Monitor and compute the SLO and error budget of the products you operate
- ▹Reduce toil and technical debt by automating tasks and improving existing components
- ▹Manage incidents and customer requests
Requirements
- ▹5 years of experience in a scalable environment
- ▹Knowledge of at least one programming language (Python, Golang, Ruby) and familiarity with software craftsmanship
- ▹Experience working with APIs
- ▹A focus on designing reliable, operable and highly available applications
- ▹Familiarity with public cloud providers (GCP, AWS or Microsoft Azure) and their Kubernetes services
- ▹A good understanding of Linux system administration, networking and troubleshooting
- ▹Strong communication and organizational skills
Soft skills
What we offer
- ▹Base salary range of €69,768–€93,500 EUR
- ▹Remote work options with offices in Paris, NYC, London, Sydney and Bucharest
- ▹Flexible workplace model emphasizing impact over location
About the company
Algolia enables every company to create world-class Search and Discovery experiences with an API-first approach, powering 1.5 trillion searches a year for over 10,000 customers worldwide. The Fleet team is an SRE team focused on keeping the Search products always available. The team's stack includes Golang, Python and Ruby; GitHub Actions and CircleCI; Terraform and Chef; Linux and Kubernetes; bare metal and cloud hosting on AWS and Azure; and Datadog with a custom monitoring stack.