Senior Backend Engineer – Platform

Alldus; New York (NY); On-site; USD 250,000 - 300,000; Full time

Benefits offered by this job

Salary range: $250k - $300k

Equity

Comprehensive medical, dental and/or/視

Comprehensive medical, dental and/or/視

Job summary

Alldus in New York is seeking a Senior Backend Engineer to design scalable Python/Go services for real-time neurological data and clinical workflows. You will work with ML engineers to productionize models and ensure low-latency, reliable inferences in a regulated healthcare environment.

Responsibilities include building APIs, optimizing data pipelines, and ensuring platform reliability with monitoring and capacity planning.

Qualifications

• 5+ years in building and operating backend systems in production.
• Strong Python development, including testing and asyncio.
• Hands-on with event-driven or stream processing (partitioning, backpressure).
• Experience with containerisation and Kubernetes.
• Relational database design and query optimisation.
• Proactive, resourceful approach turning ambiguity into reliable services.
• Clear written and verbal communication.
• Go for networked/low-latency services; Azure Event Hubs/Service Bus/AKS
• Knowledge of Arrow/Parquet, large-scale data engineering.
• Experience with PyTorch healthcare tech or regulated software.

Responsibilities

• Build and maintain Python and Go services to process and deliver real-time neurological data.
• Develop data models, ingestion pipelines and retention policies for high-frequency time-series data.
• Create and enhance APIs that underpin clinical workflows.
• Collaborate with ML engineers to productionize models and ensure inference reliability.
• Improve platform performance with monitoring, capacity planning and incident reviews.
• Build software that meets regulated medical device standards, including cybersecurity and change control.
• Own delivery from requirements to deployment and ongoing support.

Skills

Backend development

Python

Go

Streaming / event-driven systems

Kubernetes

Relational databases

Communication

Healthcare software

Azure services

Problem solving

Tools

Kubernetes

Azure

Event Hubs

Service Bus

Web PubSub

Blob Storage

Parquet / Arrow

AKS

PyTorch

Job description

Our client, an AI-driven healthcare organization, is hiring a Senior Backend Engineer to join the team in New York. The successful candidate will build and scale the infrastructure powering a real-time clinical monitoring platform, developing services that process high volumes of neurological data, support clinical workflows and deploy machine learning models into production.

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.

Benefits

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