Senior Platform Engineer
- Own and operate our on-premise and cloud environments, in particular our Kubernetes clusters (security, monitoring, upgrades and automation)
- Experience working with Deep Learning workloads, training models, serving models through inference platforms and optimising hardware and systems for models.
- Fluency of at least one coding language (Python, Go or similar) with experience of building and deploying applications on top of Kubernetes.
- Passion for automating manual and repetitive tasks (configuration, patching, etc.) using Terraform, Ansible or similar
- Curiosity about biotechnology and working with enormous biological datasets and systems
- Ability to work across the stack to troubleshoot and diagnose problems (from application logs down to TCP/IP)
- Deep knowledge of Linux and container based systems and how they work (namespaces, CNI, networking etc.)
- Experience operating clusters of NVIDIA GPUs and complex networking configurations (IB, High-speed fabrics, multiple CNIs etc.)
- At least 4 years of experience in industry working with the above tools and technologies.
- Experience with other parts of our tech stack (Clickhouse, Postgres, Datadog, Dagster, Temporal, AWS, Gitlab and RunAI)
- Any domain knowledge within Life Sciences and Biotech/Techbio, specifically around high throughput sequencing, ML models, and bioinformatics.
- The opportunity to be a key member in an exciting, dynamic, and fast-moving field.
- A fun, flexible, and supportive work environment in the centre of London, and an emphasis on collaboration and personal development.
- Highly collaborative culture, we always work cross team and cross function, with engineers, data scientists, and biologists working directly together to tackle complex issues.
- Competitive compensation including equity
- Comprehensive medical cover with AXA
- Critical Illness and Group Income Protection
- Pension Scheme
- Generous PTO
- Enhanced parental policy
- Childcare scheme with YellowNest
- Bike2Work Scheme
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