Senior Software Engineer

About Milliman

About Milliman’s MedInsight Team

Job Overview

Roles And Responsibilities

• Help define and implement development practices, including unit tests and code reviews.
• Promote and drive innovation in technologies, processes, and tools.
• Translate requirements and use cases into functional applications.
• Collaborate with internal teams to produce software design and architecture.
• Design, build, and maintain efficient, reusable, and reliable code.
• Write clean, scalable code using various programming languages.
• Test applications and systems.
• Identify bottlenecks and bugs, and devise solutions to mitigate and address these issues.
• Ensure the best possible performance, quality, and responsiveness of applications.
  

Desired Candidate Profile

• Minimum experience of 4 to 6 years.
• Strong interpersonal and communication skills.
• Hands-on experience working on data pipelines, including designing, developing, and optimizing ETL processes using Spark SQL, Python, and Databricks.
• Solid experience with .NET technologies (C#, .NET Core, WPF, ASP.NET), with the ability to switch between data pipeline projects and desktop/cloud-based .NET applications as needed.
• Knowledge of modern cloud platforms and services, preferably Microsoft Azure, including experience deploying and managing applications or data workloads on the cloud.
• Strong understanding of multi-threaded programming, OOP concepts, and design patterns.
• Familiarity with SQL Server and other relational databases.
• Proficient understanding of code versioning tools like Git.
• Ability to work effectively with ambiguous requirements and minimal supervision.
• Commitment to writing clean, maintainable, and well-documented code.
• Strong focus on performance, security, scalability, and testability in software development.
• Experience creating reusable libraries and components.
• Understanding of fundamental design principles for building scalable and robust applications.
• Familiarity with data engineering best practices, data quality, and monitoring.
• Comfortable collaborating in cross-functional teams and adapting to changing project priorities.