Backend Engineer: Real-Time Health Data & APIs

Teton.ai ApS; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

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Impactful work

Job summary

Teton is seeking a strong backend engineer to help scale the core infrastructure powering its platform. Our systems ingest and process real-time data from thousands of deployed edge devices across care facilities, powering alerts and workflows used by healthcare staff around the clock.

You will work across distributed data ingestion systems, real-time event pipelines, APIs and backend services, databases and storage systems, MQTT infrastructure and edge communication, reliability, observability,

Qualifications

• Building and operating large-scale backend or distributed systems.
• Designing reliable real-time data pipelines.
• Working with event-driven architectures and asynchronous systems.
• Scaling APIs and services handling high-throughput workloads.
• Operating production infrastructure with strong reliability requirements.
• Database design and performance optimization.
• Cloud infrastructure and deployment tooling.
• Debugging complex production issues under pressure.

Responsibilities

• Ingest and process real-time data from thousands of edge devices.
• Develop distributed data ingestion systems and real-time pipelines.
• Build APIs and backend services to support care workflows.
• Design and optimize databases and storage solutions.
• Maintain MQTT edge communication and system reliability.
• Improve observability, monitoring and performance across platforms.
• Contribute to cloud infrastructure and deployment architecture.

Skills

Distributed systems

Real-time data pipelines

Event-driven architectures

APIs & services

Cloud infrastructure

Observability

Debugging production issues

Tools

MQTT

Databases

Job description

Teton is seeking a strong backend engineer to help scale the core infrastructure powering its platform. Our systems ingest and process real-time data from thousands of deployed edge devices across care facilities, powering alerts and workflows used by healthcare staff around the clock.

You will work across distributed data ingestion systems, real-time event pipelines, APIs and backend services, databases and storage systems, MQTT infrastructure and edge communication, reliability, observability,