Brillio

Backend Engineer

• Work with clients to define digital strategy and execution roadmaps
• Design and implement differentiated digital solutions delivering measurable value
• Design, develop, test, and maintain scalable backend services and APIs using Golang
• Design and optimize PostgreSQL schemas, queries, data models, and data-access components
• Develop and enhance responsive web applications using React and JavaScript/TypeScript
• Build and integrate RESTful APIs and microservices supporting healthcare applications
• Develop Provider Operations solutions covering onboarding, demographics, directories, networks, affiliations, specialties, service locations, credentialing, and related workflows
• Collaborate with Product Owners, Business Analysts, architects, QA teams, and healthcare SMEs
• Participate in solution design, development, code reviews, testing, deployment, and production support
• Troubleshoot application, API, integration, database, and performance issues
• Develop unit and integration tests and support automated testing
• Participate in Agile ceremonies, estimation, sprint planning, and technical documentation
• Follow enterprise security, privacy, coding, CI/CD, and software-engineering standards
• Use Windsurf for code generation, refactoring, debugging, unit-test generation, documentation, and code analysis
• Review, validate, test, and optimize AI-generated code before enterprise integration
• Apply AI-assisted engineering practices while maintaining security, privacy, code quality, and maintainability

Golang, PostgreSQL Developer, React, Healthcare Domain

Full-stack Engineer

Lead Engineer

Consultant

• Design, implement, and maintain scalable CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy
• Develop infrastructure-as-code solutions with Terraform and AWS CloudFormation
• Monitor and optimize AWS cloud systems for performance, reliability, and cost efficiency using CloudWatch and CloudTrail
• Troubleshoot AWS deployment and infrastructure issues to ensure rapid resolution and minimal downtime
• Collaborate with development, QA, and operations teams to streamline build and release processes
• Configure and manage secure application environments across multiple AWS accounts while ensuring compliance with industry standards
• Integrate automated testing and quality gates into CI/CD pipelines
• Document architecture, workflows, and operational procedures for knowledge sharing and onboarding

AI Engineer

• Design and develop end-to-end full-stack applications covering frontend, backend, and API components
• Build and deploy agentic AI applications using multi-agent systems and autonomous workflows
• Implement scalable backend systems with microservices and event-driven architectures
• Develop cloud-native solutions on Azure, AWS, and GCP
• Integrate LLM-based frameworks and agent orchestration tools
• Enforce best practices in code quality, testing, debugging, observability, performance optimization, security, and scalability
• Collaborate with cross-functional teams to deliver technical solutions aligned with business requirements
• Contribute to design reviews and architectural decisions for AI-driven systems

Lead AI Engineer

• Design and build end-to-end full-stack intelligent applications integrating frontend, backend, and APIs
• Develop and deploy cloud-native solutions using Azure, AWS, and GCP
• Build and implement agentic AI applications, including multi-agent systems and autonomous workflows
• Develop scalable backend systems using microservices and event-driven architectures
• Optimize systems for performance, security, and scalability
• Use LLM-based frameworks and agent orchestration tools to create intelligent, adaptive workflows
• Ensure code quality, testing, debugging, observability, and performance optimization best practices
• Collaborate with cross-functional teams to translate business requirements into robust technical solutions
• Participate in architectural decisions

Data Scientist

• Lead the design, development, and implementation of advanced statistical models and machine learning solutions for complex business challenges
• Drive end-to-end data science project lifecycles, including data exploration, hypothesis testing, feature engineering, model selection, and validation
• Apply regression, classification, and forecasting techniques including ARIMA, ARIMAX, exponential smoothing, and decision trees
• Collaborate with cross-functional teams to translate business objectives into actionable data science strategies
• Build, evaluate, and deploy scalable machine learning models using Python, PySpark, R, TensorFlow, PyTorch, and Sci-Kit Learn
• Monitor data quality, bias detection, and model performance using Great Expectations and Evidently AI
• Mentor and guide junior data scientists, conduct code reviews, and promote best practices
• Present findings and insights through visualizations and presentations to support data-driven decision-making

Golang, PostgreSQL Developer, React, Healthcare Domain

Lead Engineer

Consultant

Lead AI Engineer

Lead AI Engineer

Senior Data Science Lead