Senior Backend Engineer - Platform
Alldus
New York, NY · Posted October 22, 2026
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Pay compared with the market
This listing does not state pay. Across 28 open senior backend engineer listings that state pay, the middle half runs $190,500 to $215,500 and the median is $205,000.
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How AI is used in this kind of work
Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
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.