Newton’s Tree is searching for a highly skilled Site Reliability Engineer (SRE) to join our early stage startup with proven product market fit and exceptional growth prospects. In this opportunity you can shape your role as we grow. We are looking for equally adventurous spirits to us who flourish in this dynamic environment.
Your role will be to ensure the reliability, scalability, and performance of the Newton’s Tree AI platform in our hospital sites and on the cloud. Reporting to the VP of Engineering, your primary focus will be creating a robust, scalable, and secure platform that enables healthcare organisations to leverage AI technologies effectively. This role combines software engineering and systems administration to automate and improve our infrastructure and services.
System Integration: work with Hospitals to install hardware to run kubernetes clusters that will host our platform and the AI applications and ETL pipelines of our clients
Observability: implement monitoring, alerting, and incident response processes.
Force multiplication: collaborate with development teams to ensure new features are deployed swiftly and with confidence and reliability
Continuous Learning: perform root cause analysis of production issues and learn from them so that our processes and tooling is improving in response to our challenges and failures
Testing and Quality Assurance: Implementing testing strategies, uptime monitoring and alerting to ensure the platform's reliability, accuracy, and functionality. This also involves troubleshooting and debugging issues reported by users and ensuring timely resolution.
Documentation and Knowledge Sharing: Creating comprehensive technical documentation, including Incident Response processes, infrastructure diagrams and troubleshooting playbooks.
Education/experience: A BSc or MA in computer science, engineering, or a related field, or equivalent experience would be essential. Having a Ph.D. focused on AI, machine learning, or healthcare informatics, or extensive experience in these fields would be desirable.
Tech stack: Demonstrating experience in managing Linux and cloud platforms. Experience with infrastructure-as-code tools like Terraform and Ansible, and GitOps. Knowledge of containerisation and orchestration technologies (Docker, Kubernetes). Familiarity with monitoring tools (Prometheus, Grafana, Datadog) and log management (ELK stack, Splunk). Understanding of networking concepts (DNS, load balancing, TCP/IP).
Data & ML/AI: Experience working with data standards in healthcare (DICOM, HL7, FHIR) would be highly desirable, as we will be integrating with PACS and EHR systems in hospitals and will need to solve infrastructure problems in this space.
Security: Essential working experience of security best practices and experience in implementing security measures, such as encryption, authentication, and authorisation mechanisms; knowledge of data privacy regulations, such as HIPAA, SOC2, GDPR.
Agile/ways of working: Demonstrated skills in cross-functional planning, continuous delivery, testing and automation are essential.
Example of some of our current tools: FluxCD, Argo workflows, Cilium CNI, Talos Linux, Teleport, Dell iDRAC, HP iLO
We try to conclude the interview process after three sessions:
Newton’s Tree is a health tech startup that enables healthcare providers to select, test, deploy monitor third party AI applications as part of routine care pathways through its enterprise AI platform.
We believe that to deliver healthcare sustainably we need to be able to radically reimagine healthcare delivery through the large scale adoption of safe and effective AI technologies.
The company is led by a founding team with globally unique experience at the nexus of healthcare, AI technology, and cutting edge research. We work with leading healthcare organisations that are bending the adoption curve for AI. We partner with AI developers and innovators across the globe throughout the product lifecycle to enable the development and deployment of the very best technology.
Send your CV and a short note telling us why you’d be excited to work with Newton’s Tree to info@newtonstree.com .
No recruiters or agencies, please.