Role: Lead Backend Engineer Location: Remote, India

Experience: 8+ Years

Algoworks is an award-winning artificial intelligence, engineering services and experience transformation firm with offices across the United States, Europe, South America and India. Our work combines human-centered design, engineering excellence and AI-powered capabilities to solve complex challenges with clarity and precision. Innovation, particularly in the responsible application of AI, is embedded in how teams approach problem-solving and continuous improvement.

Through collaboration, accountability and a focus on results, Algoworks operates at the intersection of technology and people, building not only advanced systems but robust global teams that elevate performance and create lasting impact.

Follow the video below to know about us

We are seeking a Lead Backend Engineer with strong production-level Python experience and deep expertise in large-scale search platforms, preferably SolrCloud/Lucene , to help integrate and scale two large healthcare data platforms.





The role will focus on enabling enriched emergency medical records from one platform to be consumed effectively by another. The platform currently manages approximately 500 TB of data and processes around 50 GB of new data daily , with the initial implementation focused on one data source and plans to onboard approximately ten additional sources.

You will work closely with a small, senior engineering team and take ownership of complex technical challenges across data ingestion, enrichment, modeling, indexing, APIs and search architecture.

Data architecture and lifecycle

Own the lifecycle of data attributes across the technology stack, from definition and modeling through ingestion, indexing, APIs and presentation.

Define scalable data models and attribute structures to support evolving healthcare data requirements.

Develop and maintain data ingestion and enrichment workflows using Python.

Work closely with Java/Spring

📌 Lead Backend Engineer (India)
🏢 Algoworks
📍 India