Junior Site Reliability Engineer

Summary

Join Algolia's AI Platform team and contribute to building core components that accelerate AI delivery. You will implement and maintain infrastructure, support Kubernetes deployments across cloud providers, develop and maintain infrastructure as code, and monitor system reliability and performance. The ideal candidate possesses experience with Kubernetes, container orchestration, automation, infrastructure as code (e.g., Terraform), CI/CD pipelines, and monitoring tools. Strong problem-solving skills, a passion for reliability and scalability, and excellent communication skills are essential. Algolia offers a flexible workplace strategy, allowing for remote work options. The team values grit, trust, candor, care, and humility.

Requirements

• Experience with Kubernetes and container orchestration in production environments
• A passion for automation and infrastructure as code (e.g., Terraform)
• Experience with CI/CD pipelines
• Familiarity with monitoring and observability tools (e.g., Datadog)
• A strong desire to learn and grow in the field of Site Reliability Engineering
• Excellent spoken and written English skills

Responsibilities

• Be a key contributor to implement, and maintain the infrastructure that powers the AI Platform
• Support Kubernetes-based deployments across cloud providers (GCP, AWS, Azure)
• Contribute to the development and maintenance of infrastructure as code
• Monitor and improve system reliability, scalability, and performance

Preferred Qualifications

• Familiarity with cloud providers (GCP, AWS, or Azure)
• Programming skills in Go and/or Python
• Exposure to incident response and on-call practices

Benefits

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