Description

Responsibilities:

• Design end to end application architectures using Java, Spring Boot, Spring Framework, Kafka, Spark, and Linux environments to support complex capitation based healthcare processing with high reliability and performance.
• Define and evolve architectural standards that apply proven design patterns to ensure modularity, maintainability, and consistent implementation across multiple engineering teams and projects.
• Collaborate with product owners and business stakeholders to translate capitation domain requirements into clear architectural blueprints that guide development and testing activities.
• Guide engineering teams on best practices for microservice oriented designs including integration patterns, data flows, and deployment strategies optimized for hybrid work models.
• Review solution designs and technical specifications to ensure compliance with security, scalability, resiliency, and regulatory expectations within healthcare and payer ecosystems.
• Optimize application and infrastructure configurations on Linux platforms to achieve predictable performance, resource efficiency, and stable operations for capitation payment workflows.
• Building agents powered by large language models (LLMs), further strengthening innovative solution development in the healthcare domain.
• Coordinate with cross functional teams such as data analysts and operations specialists to architect solutions that improve accuracy and timeliness of capitation calculations and settlements.
• Provide architectural oversight during implementation by validating code structures, integration logic, and configuration decisions against defined design patterns and standards.
• Assess existing systems for technical debt and architectural risks then propose remediation strategies that enhance stability, reduce defects, and improve long term maintainability.
• Architect interfaces and data models that can seamlessly support provider data management capabilities ensuring consistency and integrity of provider information across systems.
• Evaluate new tools, frameworks, and infrastructure options relevant to Java and Spring ecosystems then recommend adoption approaches that align with organizational strategy and cost effectiveness.
• Prepare and present architectural documentation such as diagrams, decision records, and migration plans that clearly communicate solution direction to both technical and nontechnical partners.
• Mentor developers and solution designers by sharing practical guidance on applying design patterns, handling capitation domain complexities, and leveraging Spring features effectively.

Requirements:

• Java Spring boot with Apache Spark Hands on Experience
• AWS, Python , Kafka
• Experience building agents using LLMs, Heatlhcare domain
• Years of Experience: 15.00 Years of Experience

Key Skills

Education

Any Graduate