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Sr. Software Engineer- 100% Remote

Remote · USA Full-time New today

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, PySpark, MapReduce, 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 (JavaScript)
  • 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 OpenShift / 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

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