Role Overview
We are partnering with an early-stage, well-funded healthtech company dedicated to tackling obesity and cardiometabolic conditions through AI-driven solutions. As a Platform Engineer, you will play a pivotal role in building and scaling the cloud infrastructure that underpins their sophisticated AI and data platforms. Working closely with the Lead Platform Engineer, you will ensure the product, data, and machine learning teams can ship code quickly, securely, and reliably in a regulated healthcare environment.
Key Responsibilities
- Infrastructure Ownership: Take full ownership of core cloud infrastructure using Infrastructure as Code (Terraform) to ensure scalability and reliability.
- CI/CD & Automation: Build and maintain robust deployment pipelines and containerised environments (Docker/Kubernetes) to accelerate software delivery.
- Security & Compliance: Implement and manage security best practices, IAM roles, and identity-based access models within a regulated healthcare context (HIPAA/SOC 2).
- Cross-functional Collaboration: Partner with ML and Data Engineers to enable seamless model serving, data pipeline orchestration (Airflow), and observability.
- Reliability Engineering: Monitor system performance and implement proactive observability tooling to maintain high availability for critical patient-facing services.
Required Skills & Qualifications
- Minimum 3 years of experience in a Cloud, Platform, or SRE role, ideally within a fast-paced startup.
- Strong proficiency in Google Cloud Platform (GCP) or Amazon Web Services (AWS).
- Expertise in Infrastructure as Code (Terraform) and containerisation (Docker).
- Excellent communication skills with the ability to solve complex problems end-to-end.
Nice-to-Have
- Experience with Kubernetes and monitoring/observability stacks.
- Exposure to LLM infrastructure, BigQuery, Airflow, or ML production environments.
- Knowledge of healthcare data standards like FHIR and HL7.