Senior Backend .NET Developer

Cynet Systems•Long Beach, CA

14h

About The Position

The Senior Backend .NET Developer will support the development and modernization of an enterprise data and integration platform for a healthcare insurance client. The role focuses on designing, developing, and supporting backend applications, APIs, data integrations, and ETL processes using .NET, SQL Server, Microsoft Azure, Azure Data Factory (ADF), and SSIS. The developer will also support AI-enabled data and application initiatives, working with architecture and data teams to enable enterprise data for AI use cases and integrate AI-driven capabilities into applications and services. The role collaborates with business, architecture, and data teams to build scalable, reliable solutions for data exchange and integration across healthcare applications and enterprise data platforms. Prior healthcare insurance/payer experience is mandatory.

Requirements

6+ years of software development experience, with strong backend development and integration experience.
Strong hands-on experience with C#, .NET/.NET Core, and ASP.NET Core.
Strong SQL Server experience, including complex SQL, stored procedures, database development, query optimization, and performance tuning.
Hands-on experience designing and developing RESTful APIs and enterprise system integrations.
Strong experience with ETL, data integration, and data-processing solutions.
Hands-on experience with Azure Data Factory (ADF).
Experience with SSIS.
Experience working with Microsoft Azure and Azure-based application and data services.
Understanding of JSON, XML, APIs, batch processing, and enterprise integration patterns.
Experience troubleshooting and supporting production applications, integrations, and data pipelines.
Experience with Git, Azure DevOps, and CI/CD practices.
Mandatory healthcare insurance/payer industry experience, with an understanding of healthcare payer applications, data, and business processes.
Strong verbal and written communication skills, including the ability to work directly with onshore business, architecture, and technical stakeholders.
Hands-on experience with AI-assisted development tools such as Cursor or similar AI coding tools.
Experience leveraging AI for coding, refactoring, unit testing, debugging, code review, and technical documentation.
Ability to quickly adopt the organization's AI-enabled SDLC processes and custom AI engineering tools.
An AI-native engineering mindset and ability to integrate AI into day-to-day development to improve quality and productivity.

Responsibilities

Design, develop, enhance, and support backend applications and services using C#, .NET, and .NET Core.
Develop and maintain RESTful APIs and integration services connecting healthcare applications, enterprise systems, and data platforms.
Develop and optimize SQL Server queries, stored procedures, database objects, and data-processing components.
Design, develop, and maintain ETL and data integration pipelines using Azure Data Factory (ADF) and SSIS.
Develop solutions for data extraction, transformation, validation, reconciliation, and movement between source and target systems.
Develop and support integrations between operational applications and the Enterprise Data Hub/data platform.
Troubleshoot application, API, database, ETL, and data-pipeline issues and provide production support.
Perform performance tuning and optimization across .NET services, APIs, SQL queries, and data-integration workflows.
Participate in solution design, code reviews, unit/integration testing, deployment, and production support.
Collaborate with business analysts, architects, data engineers, QA teams, and domain SMEs to translate business and data requirements into technical solutions.
Ensure solutions follow established development, integration, security, and data-handling standards.
Use AI-assisted development tools and AI-enabled engineering practices for coding, refactoring, unit testing, debugging, code review, and technical documentation.