MicroInsurance Centre at Milliman

QA Engineer

• Design, develop, and execute comprehensive test automation scripts using Cypress
• Create and maintain test plans, test cases, and test execution documentation
• Collaborate with development and QA teams in an Agile environment to understand product requirements and translate them into test cases
• Identify test automation opportunities and implement automation frameworks
• Maintain and enhance existing test automation suites
• Perform API testing using REST APIs and relevant tools
• Analyze test results, identify defects, and work closely with development teams to resolve issues
• Responsible for release sign-off and ensuring quality gates are met
• Work with CI/CD pipelines to integrate automated tests
• Collaborate with the team to improve test processes and methodologies
• Leverage AI coding tools to improve testing efficiency and code quality

QA Automation Tester

Backend Engineer

• Write clean, maintainable code using C# and .NET Framework (.NET Core, ASP.NET, web API)
• Develop new features and participate in microservices architecture development
• Write unit and integration tests to ensure code quality
• Work with MS SQL Server - write Stored Procedures, Views, and Functions
• Support Azure cloud integration and automated deployment pipelines using Azure DevOps
• Collaborate with infrastructure teams and senior architects on migration initiatives
• Estimate work, break down deliverables, and deliver to deadlines
• Take ownership of your work with focus on quality and continuous improvement

Junior .NET Developer

• Automate insurance reporting processes including bordereaux, reconciliations, and data extraction from various file formats
• Support and maintain interactive dashboards and reporting tools for business stakeholders
• Develop Python scripts and applications for data processing, validation, and transformation
• Develop and maintain backend APIs using FastAPI or Flask
• Perform data analysis and generate insights from insurance datasets
• Automate recurring analytical and reporting tasks
• Work with SQL databases to query, analyze, and extract data
• Collaborate with business users to understand requirements and deliver solutions
• Document code, processes, and create user guides for dashboards and tools
• Support data quality initiatives and implement validation checks

Python Backend Developer

Data Engineer

• Support infrastructure team with production database issues and troubleshooting
• Debug and resolve SQL performance issues, identify bottlenecks, and optimize queries
• Optimize stored procedures, functions, and views for better performance
• Perform query tuning, index optimization, and execution plan analysis
• Design and develop complex stored procedures, functions, and views
• Support the reporting team with complex SQL queries and database design
• Design and build ETL/ELT pipelines using Azure Data Factory and Python
• Implement data quality checks and validation rules before data enters pipelines
• Develop data integration solutions to connect various data sources and systems
• Create automated data validation, quality monitoring, and alerting mechanisms
• Develop Python scripts for data processing, transformation, and automation
• Build and maintain data models to support reporting and analytics requirements
• Help data analytics team build visualizations and dashboards by providing data models and queries
• Support reporting team with data extraction, transformation, and complex reporting queries
• Collaborate with development teams to support application database requirements
• Provide technical guidance and best practices for database design and query optimization
• Work with Azure services including Azure SQL Database, Azure Data Factory, Azure Storage, Azure Functions, and Azure ML
• Implement cloud-based data solutions following Azure best practices
• Support cloud database migrations and optimizations
• Work with Agentic AI concepts and tools to build intelligent data solutions.