Sr. Software Engineer- 100% Remote

Job Summary

We are looking for a Senior Software Engineer to design, develop, and enhance scalable software applications within a healthcare analytics product suite. This role requires strong expertise in big data technologies, backend development, and modern AI/LLM integrations, along with the ability to collaborate across distributed teams and mentor junior engineers
Key Responsibilities

• Design, develop, and maintain high-quality, scalable software components

• Build and enhance applications using Java, Python, and big data technologies

• Develop and optimize data processing systems within the Hadoop ecosystem

• Analyze, troubleshoot, and resolve software issues from internal and external stakeholders

• Document system architecture, design specifications, and operational workflows

• Improve application performance, scalability, and availability

• Collaborate with cross-functional teams including product, UI/UX, and offshore teams

• Develop and consume RESTful APIs and microservices-based architectures

• Implement and integrate AI/ML and LLM-based solutions into existing systems

• Participate in Agile/Scrum ceremonies and SDLC processes

• Ensure adherence to coding standards, security practices, and architectural guidelines

• Mentor junior developers and contribute to team growth
  Required Skills & Experience
  Core Technical Skills

• 5+ years of experience in software development

• Strong experience with Hadoop ecosystem (Spark, Py

Spark, Map

Reduce, Hive, Impala)

• Expertise in Java frameworks (Spring Boot, Hibernate, Struts, JEE)

• Strong experience with RDBMS (MS SQL Server preferred, Oracle, PostgreSQL, MySQL)

• Proficiency in Java, Python, or C#/C++, along with scripting (Java

Script)

• Experience in ETL, big data processing, and distributed systems
  Modern Engineering & Cloud Skills

• Strong experience building and consuming RESTful APIs

• Hands-on experience with Elasticsearch (indexing, querying, data modeling)

• Experience with Open

Shift / Kubernetes or similar container platforms

• Familiarity with CI/CD pipelines and version control tools (Git)

• Knowledge of microservices architecture and cloud-native development
  AI / LLM Expertise (Highly Preferred)

• Hands-on experience with LLM frameworks and APIs

• Experience integrating AI/ML models into production systems

• Strong understanding of prompt engineering and optimizing LLM outputs

• Exposure to cloud platforms supporting AI/ML workloads