Senior Software Architect (Healthcare / Medical Billing SaaS)

Senior Software Architect Healthcare / Medical Billing SaaS

Java | Angular | Azure | Databricks | AI/ML | MongoDB

Experience: 15 to 17 Years
Qualification: B.Tech / B.E / MCA
Location: Hyderabad/Hybrid
Employment Type: Full-Time

Role Overview

We are building an enterprise-grade, AI-enabled SaaS platform for US Medical Billing / Revenue Cycle Management (RCM). Our solution processes high volumes of clinical, financial, and operational data for healthcare providers and is delivered as a scalable SaaS product complemented by comprehensive Managed Services support.

We are seeking a hands-on Principal Software Architect to define and drive the architectural vision of this mission-critical platform. The ideal candidate will have deep expertise in:

• Designing data-intensive distributed systems
• Architecting enterprise SaaS applications
• Building scalable backend systems using Java & Spring Boot
• Engineering robust UI platforms using Angular
• Designing advanced data platforms using Azure Databricks, Delta Lake, Delta Tables
• Developing and integrating AI/ML-based solutions
• Strong domain experience in US Medical Billing / RCM

Key Responsibilities

Enterprise SaaS Architecture (Healthcare / RCM)

• Architect a scalable, multi-tenant enterprise SaaS platform supporting Medical Billing workflows including:
• Claims lifecycle (837/835)
• Payment posting & reconciliation
• Denial management
• Accounts Receivable (AR)
• KPI engines & executive dashboards

• Design systems capable of handling millions of transactions annually.
• Ensure high availability, performance, data security, and HIPAA compliance.
• Align architecture to support both product scalability and managed services operations.

Data-Intensive System Design (Core Focus)

• Architect high-throughput distributed systems processing large transactional and financial datasets.
• Design microservices-based, event-driven architectures.
• Define strategies for concurrency, resiliency, and performance optimization.
• Optimize system design for analytics-heavy and reporting-intensive workloads.

Data Platform & Databricks Architecture

• Design and implement data lake/Lakehouse architecture using:
• Azure Databricks
• Delta Lake
• Delta Tables
• Architect scalable ETL/ELT pipelines for ingestion, transformation, and aggregation.
• Optimize Spark workloads for performance and cost efficiency.
• Design data models supporting real-time KPIs and AI-driven insights.
• Ensure data governance, lineage, observability, and enterprise reliability.

Backend Architecture

• Architect enterprise backend systems using:
• Java (11/17+)
• Spring Boot
• Microservices architecture
• Define API standards, security frameworks (OAuth2, JWT, RBAC), and integration strategies.
• Ensure clean separation of transactional systems and analytical layers.

Frontend Architecture

• Lead scalable and modular UI architecture using Angular.
• Design reusable component libraries for enterprise dashboards.
• Optimize performance for data-heavy workflows and operational users.

Database & Storage Architecture

• Strong expertise in:
• MongoDB
• Relational databases (SQL-based systems)
• Design schema strategies for both transactional and analytical workloads.
• Optimize indexing, sharding, and query performance.
• Define hybrid storage strategies (NoSQL + Relational + Data Lake).

AI & Machine Learning Integration

• Architect AI-enabled capabilities within the Medical Billing platform.
• Experience developing or integrating solutions using:
• Claude
• Gemini
• Other leading AI/LLM providers
• Strong understanding of:
• Machine Learning algorithms
• Model lifecycle management
• Feature engineering
• Model deployment pipelines
• Design AI-driven workflows such as denial prediction, anomaly detection, automation, or intelligent claim validation.
• Ensure scalable and secure AI integration within Azure cloud environments.

Cloud & DevOps (Azure)

• Architect cloud-native deployments on Microsoft Azure.
• Define containerization, CI/CD, infrastructure-as-code, monitoring, and observability frameworks.
• Drive performance, reliability, scalability, and cost optimization.

Required Experience

• 15 to 17 years of progressive experience in enterprise software development.
• Proven experience as a Software Architect / Principal Engineer.
• Strong hands-on expertise in:
• Java & Spring Boot
• Angular
• MongoDB
• Azure Cloud
• Azure Databricks, Delta Lake, Delta Tables
• ETL / Data engineering pipelines
• Experience in US Medical Billing / Revenue Cycle Management systems is highly preferable.
• Proven experience architecting enterprise-grade SaaS platforms.
• Strong exposure to AI/ML-based solution design and integration.
• Experience building systems that support both product engineering and managed services operations.