Posted today
Unspecified
Unspecified
Engineering - Systems
Gaithersburg, MD (On-Site/Office)
We are seeking a highly skilled Software Development Engineer with a strong background in .NET development and cloud technologies, and a passion for Artificial Intelligence (AI) and Large Language Models (LLMs). This role involves designing, developing, and modernizing enterprise applications while contributing to AI-driven solutions and automation initiatives. The ideal candidate combines deep technical expertise with experience in secure, compliant systems and full SDLC delivery.
Roles & Responsibilities
Design, develop, and maintain enterprise-grade applications using .NET 8, ASP.NET MVC, Blazor Server, and Azure services.
Lead efforts in AI/LLM integration, including prototyping and implementing intelligent features for enterprise workflows.
Architect and implement queue-driven workflows and event-driven systems leveraging Azure Functions and Service Bus.
Build and manage CI/CD pipelines using Azure DevOps YAML, ensuring secure and efficient deployments.
Collaborate with stakeholders to gather requirements, prioritize features, and ensure timely delivery of solutions.
Modernize legacy applications to current technology stacks, improving performance, maintainability, and security posture.
Ensure compliance with PCI DSS, GDPR, and secure design principles throughout development.
Mentor team members, enforce engineering standards, and promote best practices in coding, architecture, and documentation.
Drive automation initiatives to reduce manual processes and improve operational efficiency.
Required Skills
Programming & Architecture: C#, .NET (including .NET 8), ASP.NET MVC/Web API, Blazor Server.
Cloud & Integration: Microsoft Azure (Functions, Service Bus, Storage), REST/SOAP APIs.
Database: SQL Server and related technologies.
CI/CD & DevOps: Azure DevOps pipelines (YAML), multi-stage deployments, approval gates.
Security & Compliance: Secure design principles, PCI DSS awareness, GDPR compliance.
SDLC Expertise: Work breakdown, estimation, sprint/release planning, stakeholder communication.
Strong problem-solving skills and ability to deliver scalable, maintainable solutions.
Preferred Skills
Hands-on experience or strong interest in AI/LLM development, including:
AI agent prototypes for enterprise data retrieval.
RAG (Retrieval-Augmented Generation) implementations.
Integration with Microsoft AI frameworks (e.g., Microsoft.Extensions.AI).
Familiarity with observability practices and quality assurance in distributed systems.
Experience with SharePoint integrations and enterprise content management.
Knowledge of tokenization workflows and secure payment processing.
Previous leadership experience in managing development teams and mentoring engineers.
Roles & Responsibilities
Design, develop, and maintain enterprise-grade applications using .NET 8, ASP.NET MVC, Blazor Server, and Azure services.
Lead efforts in AI/LLM integration, including prototyping and implementing intelligent features for enterprise workflows.
Architect and implement queue-driven workflows and event-driven systems leveraging Azure Functions and Service Bus.
Build and manage CI/CD pipelines using Azure DevOps YAML, ensuring secure and efficient deployments.
Collaborate with stakeholders to gather requirements, prioritize features, and ensure timely delivery of solutions.
Modernize legacy applications to current technology stacks, improving performance, maintainability, and security posture.
Ensure compliance with PCI DSS, GDPR, and secure design principles throughout development.
Mentor team members, enforce engineering standards, and promote best practices in coding, architecture, and documentation.
Drive automation initiatives to reduce manual processes and improve operational efficiency.
Required Skills
Programming & Architecture: C#, .NET (including .NET 8), ASP.NET MVC/Web API, Blazor Server.
Cloud & Integration: Microsoft Azure (Functions, Service Bus, Storage), REST/SOAP APIs.
Database: SQL Server and related technologies.
CI/CD & DevOps: Azure DevOps pipelines (YAML), multi-stage deployments, approval gates.
Security & Compliance: Secure design principles, PCI DSS awareness, GDPR compliance.
SDLC Expertise: Work breakdown, estimation, sprint/release planning, stakeholder communication.
Strong problem-solving skills and ability to deliver scalable, maintainable solutions.
Preferred Skills
Hands-on experience or strong interest in AI/LLM development, including:
AI agent prototypes for enterprise data retrieval.
RAG (Retrieval-Augmented Generation) implementations.
Integration with Microsoft AI frameworks (e.g., Microsoft.Extensions.AI).
Familiarity with observability practices and quality assurance in distributed systems.
Experience with SharePoint integrations and enterprise content management.
Knowledge of tokenization workflows and secure payment processing.
Previous leadership experience in managing development teams and mentoring engineers.
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