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.Net Lead Developer

VGAI Solutions IncNew York, NY🇺🇸United States

Quick overview

Salary$145k/yr
SeniorityMid Senior
Work modeHybrid
LocationNew York, NY, United States
Stakeholder ManagementDockerMicroservicesSQLGitAWSAPI GatewayScrumAngularC#.NETASP.NETKafkaLLMGenerative AIRESTKubernetesSQL ServerAgilePrompt EngineeringCI/CDRAGIAM

Job description

.Net Lead Developer

Job Location: Fort Mill, SC / New York

Employment Type: Full Time

Experience: 12-15 Years

Salary - $135K (SC) || $145K (NY)

About the Role

We are looking for a highly skilled .NET Lead Developer with strong experience in enterprise application development, AWS cloud-native technologies, and modern AI/GenAI solutions. The ideal candidate will provide technical leadership while designing and developing scalable .NET applications and cloud-based solutions for the Financial Services and Wealth Management domain. The role requires strong hands-on expertise in .NET Core, C#, AWS, Angular, APIs, microservices, and AI-assisted development, along with the ability to lead technical initiatives, mentor developers, and collaborate with business and technology stakeholders.

Responsibilities

• Lead the design, development, and delivery of scalable enterprise applications using .NET Core, C#, and Angular.

• Design and implement cloud-native solutions on AWS, leveraging services such as Lambda, ECS/EKS, S3, API Gateway, CloudWatch, RDS, and other AWS services.

• Lead the development of REST APIs, microservices, and distributed applications following scalable architecture and design principles.

• Drive the adoption and integration of AI/GenAI and Agentic AI tools to improve application capabilities, engineering productivity, and automation.

• Collaborate with Product Owners, Architects, QA teams, and business stakeholders to translate requirements into technical solutions.

• Provide technical leadership, conduct code reviews, establish development best practices, and mentor junior and mid-level developers.

• Participate in architecture discussions, performance tuning, production support, and technical troubleshooting.

• Ensure applications meet enterprise standards for security, scalability, performance, reliability, and maintainability.

• Contribute to AWS cloud modernization and application transformation initiatives within the Financial Services domain.

Qualifications

• 8+ years of overall software development experience, with strong experience in .NET technologies.

• Proven experience as a Technical Lead / Lead Developer in enterprise application development.

• 3+ years of hands-on experience with AWS cloud technologies.

• Strong experience in Financial Services, Banking, Wealth Management, or related financial technology domains.

• Strong hands-on experience with Angular and modern UI development.

• Experience working with AI copilots, GenAI, Agentic AI frameworks, LLM-based applications, or AI-assisted development tools.

• AWS or Microsoft certifications are preferred.

Required Skills

• Strong expertise in .NET Core / ASP.NET Core and C#.

• Strong hands-on experience with AWS Cloud Services, including Lambda, ECS/EKS, S3, API Gateway, CloudWatch, RDS, IAM, and related services.

• Strong experience designing and developing REST APIs and microservices.

• Strong frontend development experience using Angular.

• Hands-on experience with SQL Server, database design, and performance optimization.

• Experience with AI/GenAI technologies, Agentic AI tools, LLM integrations, or AI-assisted software development platforms.

• Strong understanding of cloud-native architecture, distributed systems, and scalable application design.

• Experience with CI/CD pipelines, DevOps practices, Git, and cloud deployment automation.

• Strong understanding of application security, performance, scalability, and reliability.

• Excellent communication, stakeholder management, problem-solving, and technical leadership skills.

Preferred Skills

Strong experience in Wealth Management / Financial Services / Banking applications and platforms.

Experience with AWS Bedrock or other enterprise GenAI services.

Exposure to RAG, prompt engineering, LLM integrations, AI agents, or Agentic AI frameworks.

Experience with event-driven architecture and messaging systems such as SQS, SNS, Kafka, or EventBridge.

Experience with Docker and Kubernetes/EKS.

Experience with AWS application modernization and migration initiatives.

Familiarity with Agile/Scrum methodologies and working with distributed engineering teams.

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