Staff SRE, AI Infrastructure
Wayve
Staff SRE, AI Infrastructure Overview
| Company Name | Wayve |
| Job Role | Staff SRE, AI Infrastructure |
| Qualifications | Not Specified |
| Category | IT Jobs |
| Job Type | Full Time |
| Location | London |
Wayve is seeking a highly skilled Staff Site Reliability Engineer (SRE) to focus on AI infrastructure. This role involves designing, building, and maintaining the foundational systems that support advanced artificial intelligence applications, ensuring they are reliable, scalable, and efficient.
Key Responsibilities
- Develop and sustain infrastructure solutions that underpin AI systems, emphasizing high availability and performance.
- Create and manage monitoring, alerting, and automation tools to keep AI infrastructure running smoothly and efficiently.
- Work closely with AI research and engineering teams to optimize infrastructure for deploying and scaling AI models and applications.
- Proactively troubleshoot and resolve infrastructure issues to prevent downtime and ensure system resilience.
- Contribute to establishing best practices for infrastructure deployment, management, and automation pipelines.
- Engage in capacity planning and performance tuning to support growing AI workloads.
Qualifications and Skills
- Extensive experience in Site Reliability Engineering or systems engineering supporting large-scale, complex infrastructure environments.
- Deep knowledge of cloud computing platforms such as AWS, Google Cloud Platform, or Microsoft Azure, with practical experience managing cloud-based AI infrastructure.
- Hands-on experience with containerization technologies like Docker and orchestration tools such as Kubernetes.
- Familiarity with automation and configuration management tools including Terraform, Ansible, or similar frameworks.
- Strong scripting skills in languages like Python, Bash, or equivalent for automation and tooling.
- Experience with monitoring and observability tools such as Prometheus, Grafana, or Datadog.
- Understanding of networking principles, security best practices, and strategies for building resilient infrastructure.
- Experience supporting AI or machine learning workloads is advantageous.
Benefits
- Competitive salary and benefits package.
- Opportunities for career development within a forward-thinking AI company.
- Work in a collaborative, innovative environment that encourages growth.
- Potential for flexible working arrangements, including remote work options.
Additional Information
This position does not specify a particular working pattern, leaving flexibility open. The company explicitly states that visa sponsorship is available for this role, making it accessible to candidates requiring sponsorship to work in the UK.
Degree Requirement: Not Specified
Visa Sponsorship Promising
To apply for this job please visit jobs.ashbyhq.com.