Full Stack Software Engineer - Flow Automotive

Flow Automotive Companies•Winston-Salem, NC

3d•Onsite

About The Position

We are seeking a Full Stack Software Engineer with deep expertise in .NET Core and SQL Server to design, build, and maintain enterprise-grade solutions. This role is central to our engineering organization, spanning API architecture, data platform development, DevOps pipeline ownership, and AI-augmented development practices. You will collaborate directly with business stakeholders and cross-functional teams to deliver scalable, production-ready systems.

Requirements

10+ years of professional software development experience with .NET Core and SQL Server.
Bachelor's degree in Computer Science, Software Engineering, or equivalent professional experience.
Excellent written and oral communication skills, with the ability to translate technical concepts for business audiences.
Hands-on proficiency with Visual Studio, SSMS, Azure DevOps, REST API development, and SQL Server.
Demonstrated use of AI tools in development workflows, with specific examples documented on your resume.

Nice To Haves

Agile/Scrum methodology experience with Jira-based project management.
Source control experience using GitHub.
Front-end development experience with React or Angular.
Familiarity with Snowflake for cloud data warehousing.
Experience with Solr for enterprise search and indexing.

Responsibilities

Architect, build, and maintain RESTful APIs using .NET Core, applying microservices design patterns and integration best practices.
Design scalable service boundaries and integration contracts that support enterprise reliability and maintainability standards.
Author and optimize SQL Server stored procedures, tables, and views to support business-critical workflows.
Use SQL Server Management Studio (SSMS) for performance tuning, query analysis, and schema management.
Own and maintain CI/CD pipelines in Azure DevOps, including YAML pipeline authoring, artifact management, and release gate configuration.
Drive engineering consistency and deployment quality through pipeline standards and automation best practices.
Integrate AI tooling into development workflows, with documented examples required on your resume. Examples include: GitHub Copilot for code generation and acceleration LLMs for automated test generation and code review ML pipelines for data enrichment or classification
Provide production support and rapid troubleshooting for business-critical systems.
Engage on-site with business stakeholders to gather requirements, communicate status, and drive solution delivery.