.Net Fullstack Developer @ Datavail

Datavail is a leading provider of data management, application development, analytics, and cloud services, with more than 1,000 professionals helping clients build and manage applications and data via a world-class tech-enabled delivery platform and software solutions across all leading technologies. For more than 17 years, Datavail has worked with thousands of companies spanning different industries and sizes, and is an AWS Advanced Tier Consulting Partner, a Microsoft Solutions Partner for Data & AI and Digital & App Innovation (Azure), an Oracle Partner, and a MySQL Partner.

Skills Required

• Minimum of 5 years of relevant software development experience using the Microsoft technology stack, including hands-on full stack application development.
• Strong proficiency in C#, modern .NET, ASP.NET Core, RESTful Web APIs, Entity Framework Core, and LINQ.
• Hands-on experience developing responsive web applications using React, JavaScript/TypeScript, HTML, and CSS.
• Strong relational database development skills, including database design, SQL queries, stored procedures, and performance optimization. Hands-on experience with MySQL and/or PostgreSQL is required; experience with both is preferred.
• Good understanding of Object-Oriented Programming, SOLID principles, design patterns, and maintainable application architecture.
• Experience integrating applications with external systems through APIs and other data interfaces, including validation, error handling, and logging.
• Experience writing automated unit and integration tests, conducting code reviews, and troubleshooting application issues.
• Working knowledge of secure development practices, including authentication, authorization, input validation, and protection of sensitive data.
• Hands-on experience with Visual Studio, Git, and Azure DevOps or equivalent development and delivery tools.
• Familiarity with CI/CD pipelines and Agile delivery practices.
• Ability to interpret requirements and technical designs, estimate development effort, and independently deliver assigned work.
• Effective communication and interpersonal skills, with the ability to collaborate with clients and distributed teams.

Preferred Qualifications

• Experience developing and supporting applications on AWS, particularly Amazon Aurora/RDS for MySQL or PostgreSQL, ECS, S3, and CloudWatch.
• Experience with Docker, containerized application deployment, and CI/CD pipeline configuration.
• Experience with healthcare applications, HL7 ADT, FHIR, or integration engines such as Mirth Connect.
• Experience integrating AI/ML models or services into business applications, including data preparation, API integration, processing model outputs, and monitoring.
• Hands-on experience with AWS AI/ML services, particularly Amazon Bedrock and/or Amazon SageMaker AI. Experience with predictive analytics, forecasting, anomaly detection, or generative AI applications is an asset.
• Relevant Microsoft or AWS certifications.

Duties

• Develop, enhance, and maintain full stack applications using .NET, React, and relational databases.
• Collaborate with business analysts, architects, QA, and client stakeholders to translate requirements into reliable, maintainable solutions.
• Develop and maintain APIs, application integrations, and data-processing components, including validation, reconciliation, and exception handling.
• Implement database changes and data migration routines, with appropriate validation and performance considerations.
• Contribute to the implementation of AI/ML-enabled features using AWS services and approved solution designs, including data pipelines, model and service integration, presentation of results, and application-level validation and monitoring.
• Write automated tests, participate in code reviews, resolve defects, and follow established coding and security standards.
• Work with DevOps and infrastructure teams to support CI/CD pipelines, environment configuration, application deployments, and monitoring.
• Investigate and resolve application, integration, and performance issues across development, testing, and production environments.
• Provide effort estimates and progress updates, identify technical dependencies and delivery risks, and escalate issues promptly.
• Maintain technical documentation, promote reuse of shared components and services, and contribute to continuous improvement and knowledge sharing.
• Support user acceptance testing, production releases, and post-deployment stabilization.