← Search all jobs

Senior Backend Engineer - Platform

Alldus

New York, NY · Posted October 22, 2026

Just laid off? Start here: a plan for the first weeks

See every open role at Alldus

More in New York job market · Senior Backend Engineer jobs in New York, NY (22) · All Senior Backend Engineer jobs (94) · Pharmaceuticals & Biotech · Engineering jobs

More roles at Alldus

Similar jobs

Where New York, NY ranks

Where New York, NY placed in our monthly rankings, month by month. Each month stays online at its own address.

November 2026

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.

Listed pay is what employers advertise, not what people are paid.

Senior Backend Engineer salaries by state · Check your own pay

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.

Check how this applies to your own job

Skills this job asks for

Say which you have and which you want to build. We use it to match you to jobs like this one.

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.