Developer III - Software Engineering

Role Description

Role Proficiency:

Independently develops error free code with high quality validation of applications guides other developers and assists Lead 1 – Software Engineering

Outcomes

• Understand and provide input to the application/feature/component designs; developing the same in accordance with user stories/requirements.
• Code debug test document and communicate product/component/features at development stages.
• Select appropriate technical options for development such as reusing improving or reconfiguration of existing components.
• Optimise efficiency cost and quality by identifying opportunities for automation/process improvements and agile delivery models
• Mentor Developer 1 – Software Engineering and Developer 2 – Software Engineering to effectively perform in their roles
• Identify the problem patterns and improve the technical design of the application/system
• Proactively identify issues/defects/flaws in module/requirement implementation
• Assists Lead 1 – Software Engineering on Technical design. Review activities and begin demonstrating Lead 1 capabilities in making technical decisions
  
  

Measures Of Outcomes

• Adherence to engineering process and standards (coding standards)
• Adherence to schedule / timelines
• Adhere to SLAs where applicable
• Number of defects post delivery
• Number of non-compliance issues
• Reduction of reoccurrence of known defects
• Quick turnaround of production bugs
• Meet the defined productivity standards for project
• Number of reusable components created
• Completion of applicable technical/domain certifications
• Completion of all mandatory training requirements
  
  

Code

Outputs Expected:

• Develop code independently for the above
  
  

Configure

• Implement and monitor configuration process
  
  

Test

• Create and review unit test cases scenarios and execution
  
  

Domain Relevance

• Develop features and components with good understanding of the business problem being addressed for the client
  
  

Manage Project

• Manage module level activities
  
  

Manage Defects

• Perform defect RCA and mitigation
  
  

Estimate

• Estimate time effort resource dependence for one's own work and others' work including modules
  
  

Document

• Create documentation for own work as well as perform peer review of documentation of others' work
  
  

Manage Knowledge

• Consume and contribute to project related documents share point libraries and client universities
  
  

Status Reporting

• Report status of tasks assigned
• Comply with project related reporting standards/process
  
  

Release

• Execute release process
  
  

Design

• LLD for multiple components
  
  

Mentoring

• Mentor juniors on the team
• Set FAST goals and provide feedback to FAST goals of mentees
  
  

Skill Examples

• Explain and communicate the design / development to the customer
• Perform and evaluate test results against product specifications
• Develop user interfaces business software components and embedded software components 5 Manage and guarantee high levels of cohesion and quality6 Use data models
• Estimate effort and resources required for developing / debugging features / components
• Perform and evaluate test in the customer or target environment
• Team Player
• Good written and verbal communication abilities
• Proactively ask for help and offer help
  
  

Knowledge Examples

• Appropriate software programs / modules
• Technical designing
• Programming languages
• DBMS
• Operating Systems and software platforms
• Integrated development environment (IDE)
• Agile methods
• Knowledge of customer domain and sub domain where problem is solved
  

Additional Comments

POSITION DESCRIPTION Job title Senior Software Engineer - Backend Department/BU Engineering Location Remote (India) Overview: Cotiviti is seeking an experienced Senior Software Engineer with a minimum of 5 years of professional software development experience and expert-level Java skills to join our healthcare data processing team. The ideal candidate will contribute to a diverse range of backend systems including MLOps initiatives, LLM integration projects, and NLP-powered applications for medical data analysis. This role involves working across multiple healthcare platforms - from Risk Adjustment ICD-10 extraction systems to cross-platform AI tools and internal NLP applications. You'll collaborate with NLP Engineers, Data Scientists, and cross-functional teams to build scalable backend solutions that incorporate modern AI capabilities while maintaining robust enterprise-grade systems. While experience with MLOps, LLM integration, or NLP technologies is preferred, we will consider exceptional software engineers with strong technical fundamentals and demonstrated ability to learn new technologies and frameworks on the job. Responsibilities:

• MLOps Pipeline Development: Design and maintain ML operations pipelines for Risk Adjustment applications and cross-platform projects, including model deployment and monitoring in healthcare environments
• LLM Integration for Healthcare Applications: Lead integration of Large Language Models into Risk Adjustment systems and other healthcare products, enhancing clinical data processing capabilities
• NLP System Development: Build natural language processing pipelines for medical text analysis across Risk Adjustment and other healthcare applications
• Model Deployment & Monitoring: Implement MLOps best practices for AI model deployment, versioning, and performance monitoring across multiple healthcare projects
• Cross-Platform AI Development: Work on LLM and AI integration across various internal tools and healthcare platforms beyond Risk Adjustment applications
• REST API Development: Design and implement APIs for LLM integration, model serving, and cross-platform AI capabilities
• Medical Text Processing: Extract meaningful information from clinical notes and medical records using various NLP frameworks and modern AI techniques
• Named Entity Recognition Systems: Build and optimize NER systems for identifying medical entities in text across Risk Adjustment and other healthcare applications
• Enterprise Java Development: Design and implement robust, scalable Java applications using enterprise frameworks for healthcare data processing
• NLP Internal Tools Development: Contribute to building and enhancing internal NLP tools and platforms used across multiple healthcare projects
• Enterprise Applications: Develop and maintain enterprise-grade Java applications utilizing Maven, Spring Framework, Hibernate, JPA, Spring Boot, and microservices architectures
• UI Integration: Integrate LLM capabilities into JavaScript-based user interfaces and web applications for various healthcare platforms
• Python Integration: Leverage Python for data processing, ML model integration, and MLOps tooling across healthcare applications
• Database Management: Design and maintain Oracle database schemas and complex SQL queries for healthcare data processing systems
• System Administration: Manage application deployment using SSH, shell scripting, and Linux/Unix environments
• CI/CD Management: Maintain build processes, testing pipelines, and ML model deployment workflows for healthcare AI systems Relevant experience and educational requirements:
• Minimum 5+ years of professional software development experience
• Expert-level Java programming skills with deep understanding of JVM, concurrency, and enterprise development
• Python proficiency required for MLOps and AI integration work (exceptions made for talented Java engineers/software engineers with strong learning ability)
• Experience with MLOps practices, model deployment, and ML lifecycle management preferred
• Experience with LLM integration, fine-tuning, or AI model deployment is a plus
• Experience with JavaScript for UI integration and web application development
• Experience with REST API development and microservices architecture
• Strong experience with Maven, Spring Framework, and Java ecosystem tools
• Proficiency with Oracle databases and advanced SQL
• Proficiency with Regex
• Experience with Linux/Unix systems and SSH
• Understanding of CI/CD pipelines and automated deployment processes
• Bachelor's degree in Computer Science, Software Engineering, or related technical field (master's degree is a plus)
• Combination of Computer Science and Data Science education is highly preferred
• Familiarity with NLP concepts and techniques preferred
• Experience with text processing frameworks (UIMA experience preferred but not required - we welcome talented engineers who can learn frameworks on the job)
  
  

Skills

Backend,Software Development,Java,Python