Senior Backend Engineer – Platform

Responsibilities: Build and maintain Python and Go services to process and deliver real-time neurological data. Develop and optimise data models, ingestion pipelines and retention policies for high-frequency time-series data. Create and enhance APIs that underpin clinical workflows. Work alongside ML engineers to bring research models into production and ensure inference services run reliably. Strengthen platform performance and reliability through monitoring, alerting, capacity planning and incident reviews. Build software that meets regulated medical device standards, covering cybersecurity, traceability and change control. Own technical delivery from defining requirements through development, deployment and ongoing support.

Skillset: At least 5 years' experience building and operating backend systems in production. Strong Python development skills, including testing and concurrency using threads, processes and asyncio. Hands‐on experience with event‐driven or stream‐processing systems, including partitioning, checkpointing, backpressure and at‐least‐once delivery. Experience with containerisation and orchestration, preferably Kubernetes. Strong relational database skills, including schema design and query optimisation. A proactive, resourceful approach, with the ability to turn ambiguous requirements into reliable, monitored services. Clear communication skills, including the ability to explain technical decisions verbally and in writing. Experience with Go for networked or low‐latency services and Azure services such as Event Hubs, Service Bus, Web PubSub, Blob Storage or AKS is a plus. Knowledge of large‐scale data engineering, columnar formats such as Apache Arrow or Parquet, video processing or sub‐second latency systems would be beneficial. Experience serving PyTorch models or developing healthcare technology and other regulated software would be an advantage.

Salary: $250k - $300kEquity. Comprehensive medical, dental and vision coverage.