Symbolica is looking to bridge the gap between theoretical mathematics and cutting-edge technologies by creating symbolic reasoning models that think like humans. They need to accelerate the processes involved in going from research prototypes into production and enterprise-ready platforms with security, availability, and reliability in mind.
Requirements
- 5+ years of experience in DevOps, or infrastructure roles
- it would be a benefit if you have either built, maintained, or managed ML infrastructure using DevOps practices in the past
- Proficient in cloud-native architectures, with the ability to make the right tradeoffs where necessary
- Experienced with Linux, containers, Kubernetes
- an interest in making sure the infrastructure is maintained in a secure manner
- Exceptional problem-solving skills with the ability to nimbly solve edge-cases with minimum disruption.
Responsibilities
- Maintaining a central GitOps repository for stable and safe releases of products and internal research tooling with disaster recovery, security and automation in mind.
- Assist in managing multiple Kubernetes environments across cloud providers
- Maintain and build the internal observability platform across all environments, covering everything from GPUs, AI applications and distributed backend systems
- Aid in building comprehensive CI tests for GitOps repositories and promotion systems
- Build and maintain different environments for research and client facing products according to best practices
Other
- This is an onsite role that can be based in either of our SF, or London offices.
- Competitive salary and early-stage equity package.
- A high-trust, execution-first culture with minimal bureaucracy.
- Direct ownership of meaningful projects with real business impact.
- A rare opportunity to sit at the interface between deep research and real-world productisation.
