Senior Full Stack Developer

zuven Technologies
Omaha, NE, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$70,000.0 - $112,000.0
Working hours
Regular working hours

Tech stack

.NET Framework Artificial Intelligence Amazon Web Services Application Integration Architecture Systems Engineering JIRA Microsoft Azure C Sharp (Programming Language) Cascading Style Sheets (CSS) Cloud Computing Databases Amazon DynamoDB
+24 more
Entity Framework Identity and Access Management PostgreSQL NoSQL Systems Integration TypeScript RxJS .NET Core Tailwind Delivery Pipeline Prompt Engineering Generative AI Backend AI Platforms AngularJS Front End Software Development Asynchronous Programming Api Design Code Restructuring Serverless Computing Legacy Systems Jenkins Web Api Microservices

Job description

Proactive, visionary Senior Full Stack Engineer to join Corporate IT Engineering team. This role is not a task taker but need a consultant minded engineer who can look at legacy systems and see opportunities for refactoring, efficiency, and AI integration. You will be responsible for the end-to-end lifecycle of corporate applications from architecting modern frontends in Angular to building robust .NET backends and leveraging AWS to scale. A significant portion of this role involves identifying where Artificial Intelligence can optimize business processes and implementing those solutions from the ground up. Required Skills - Angular, .NET Core, AWS, Generative AI Job Requirements - Technical Qualifications Frontend: 8+ years of experience with Angular, TypeScript, RxJS, and modern CSS frameworks (Tailwind/Material). Backend: 5+ years of expert-level experience in C# and .NET Core/Web API. Deep understanding of Entity Framework and asynchronous programming. Cloud (AWS): Proven

Requirements

experience architecting and managing AWS environments. Familiarity with Serverless architectures, IAM roles, and CI/CD pipelines (AWS CodePipeline/Jenkins). AI/ML: Practical experience integrating AI features into production apps. This includes working with APIs (OpenAI/Anthropic), prompt engineering, or leveraging AWS AI services. Database: Proficiency in SQL Server, PostgreSQL, or NoSQL solutions (DynamoDB). Refactoring: Strong experience in “strangling” legacy monoliths and migrating functionality to modern microservices or serverless functions. Soft Skills & “Self-Starter” Qualities Autonomy: You don’t wait for a Jira ticket to be perfectly groomed. You find the problem and bring the solution to the table. Product Mindset: You care about the “Why” behind the code and how it impacts the corporate end-users. Communication: Ability to explain complex technical concepts and the ROI of refactoring to non-technical stakeholders. Adaptability: Comfortable navigating the complexities of corporate IT environments while pushing for modern best practices. Desired Skills & Experience - Preferred Certifications AWS Certified Developer or Solutions Architect. Microsoft Certified: Azure/C# Developer (relevant to .NET mastery).

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