TL;DR
Senior Site Reliability Engineer (AI): Designing, deploying, and maintaining cloud infrastructure to support a hirify.global SaaS offering with an accent on reliability, resilience, scalability, and security. Focus on automating technical operations, troubleshooting complex cloud infrastructure, and setting up advanced monitoring, logging, and tracing tools.
Location: Onsite or Remote (France, UK, Germany, Netherlands)
Company
hirify.global is The Universal AI Platform™ that enables organizations to control their AI talent, processes, and technologies for creating analytics, models, and agents.
What you will do
- Design, deploy, and maintain cloud infrastructure for hirify.global's SaaS offering, primarily on AWS, Azure, and GCP.
- Continuously improve infrastructure, deployment, and configuration for reliability, resilience, scalability, and security.
- Automate technical operations as much as possible.
- Troubleshoot cloud infrastructure, systems, network, and application stacks.
- Set up monitoring, logging, and tracing tools to detect and fix potential issues.
- Participate in on-call rotation.
Requirements
- Hands-on expertise with Docker and Kubernetes.
- Strong experience leveraging cloud resources from AWS, Azure, and GCP.
- Hands-on experience with Infrastructure as Code tools (e.g., Terraform, Helm, Argo CD).
- Understanding of observability platforms and practices.
- Solution-oriented and automation-first mindset.
Culture & Benefits
- Be part of a journey to shape the ever-evolving world of AI.
- Contribute to the collective knowledge of global tech innovators.
- Work with a dynamic range of technologies, including the latest LLMs and open-source communities.
- Join a company that values innovation, collaboration, and personal growth.
Hiring process
- Initial call with a Tech Recruiting team member.
- Video call with an SRE Manager.
- Complete a home technical assessment.
- Debrief your technical assessment with two SRE team members.
- Final interview with the SRE Director.
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